Once I have spent two month in business trip in the UK, at that time I was working for Fujitsu UK in the integration project. The team was so freindly and efficient that made the project and team work a real pleasure.
+At the end of my trip that was in middle of Autumn the team members invited me to farewell dinner in the Chinese restaurant.
+In the middle of the dinner the personnel of the restaurant dimmed the light and waitress with the cake with one candle started her trip to the lucky guy. As my birthday is in Spring and I knew that I was completely astonished when the waitress put the cake in front of me. The only phrase that I could say for a next minute was: "It is not my birthday". And whole the restaurant laughed. My colleague that organized the farewell party told me a bit later: -"This is something to remember". +"This is something to remember".
diff --git a/TED/hobbies.md b/TED/hobbies.md index 0c105625..48bf5ca7 100644 --- a/TED/hobbies.md +++ b/TED/hobbies.md @@ -1,11 +1,11 @@ -##Imagination +## Imagination When I was 12 years old my mind was enormously influenced by the stories of my grandpa about the astrophysics. Whole world expanded from building and streets to the galaxies and universe. I still can remember the image of the trolleybus shrinking to the size of point of a needle. This is the way I have discovered the power of imagination. -##Protest +## Protest Later when I was something like 20 and life during 90es in Russia was not easy, the ideas of protest was really natural and easy to understand. I have started the musical punk rock group Definitely @@ -16,8 +16,8 @@ the creative part of the programming in general and later in the AI. Switching the perspective and using unconventional angles and approaches to look a scientific problem is one of the powerful tools that I currently use. -##Bike and midlife crisis +## Bike and midlife crisis At my 35-38 during midlife crisis I bought a bike, possibly this is not really original. I perceived it -as escape from the ordinary life and way to detach from the everyday routine. +as escape from the ordinary life and way to detach from the everyday routine. Later I understood that powerful emotions as much dangerous as alcohol and this triggers my interest to human emotions and their simulations. diff --git a/TED/idea.md b/TED/idea.md index 92b3d13f..7be6f82f 100644 --- a/TED/idea.md +++ b/TED/idea.md @@ -1,4 +1,4 @@ -#Fear simulation +# Fear simulation Recently we have managed to simulate the fear in its simplest form and indicate the connection of emotions and computational system parameters: computational power consumption, @@ -9,7 +9,7 @@ I completely agree with the position and more than that we propose that emotions creates proper basement for the values system of future safe and friendly artificial intelligence or super-intelligence. -#Machine consciousness +# Machine consciousness Currently we have a lot of machines that can do a lot of interesting and amazing things like IBM Watson. But still there is no sign of the consciousness they still are unconsciously following the program that collective of diff --git a/TED/intro.md b/TED/intro.md index 89a2154a..9d48f1af 100644 --- a/TED/intro.md +++ b/TED/intro.md @@ -1,13 +1,13 @@ -#Introduction +# Introduction -##I was born in childhood +## I was born in childhood When I was 12 years old my mind was enormously influenced by the stories of my grandpa about the astrophysics. Whole world expanded from building and streets to the galaxies and universe. I still can remember the image of the trolleybus shrinking to the size of point of a needle. This is the way I have discovered the power of imagination. -##Problem +## Problem I had a problem and the problem was big and ubiquitous: I had too many ideas per day. I have started [blogging](https://cosmicdustman.wordpress.com/category/rd/) expressing the @@ -30,7 +30,7 @@ some progress in the automation but still the system was: So we had to use different approach. -##The book +## The book Around 2007 I have explored the book of Marvin Minsky "The emotion machine". That was fresh and unusual view on the Artificial Intelligence(AI) and the emotions. For some historical reason we still perceive the machines @@ -44,7 +44,7 @@ Let's have a look at the human brain and mind! Again. To be honest the history of modern computing starts with high-level model of human brain implemented in chips that what we know as Von Neumann architecture. -##Solution +## Solution When I turned 40 I have understood that there is no more time to waste if I want to do something interesting I have to do this now. At this time I was SDA(Software design architect) and had some experience in some research @@ -67,9 +67,9 @@ We have started the book about the machine consciousness mainly as the neural co to several mental activities, in other words: explaining philosophical/psychological phenomena in neurobiological terms. -##The TED speech +## The TED speech -###Fear simulation +### Fear simulation Recently we have received the preliminary results of the simulation of fear in the machines. We have managed to simulate the fear in its simplest form @@ -77,11 +77,11 @@ and indicate the connection of emotions and computational system parameters: com learning and storage and we are able to indicate the moment when machine was in fear-like state. Nick Bostrom in his [TED speech](http://www.ted.com/talks/nick_bostrom_what_happens_when_our_computers_get_smarter_than_we_are) indicated the importance that super-intelligence "shares our(human) values". We completely agree -this position and more than that we propose that emotions and consciousness +this position and more than that we propose that emotions and consciousness creates proper basement for the values system of future safe and friendly artificial intelligence or super-intelligence. -###Machine consciousness +### Machine consciousness Why consciousness is interesting and so complex/challenging? Mainly because we do not understand the human consciousness, there are brilliant minds working on this problem: @@ -104,6 +104,3 @@ We have to have conscious machines and capable of having emotional feelings not I'm pretty sure that if there was no crucial need for the consciousness and emotions then the evolution would get rid of them. We want to create responsible and reasonable members of society that will help us possibly already "old humans" in future. - - - diff --git a/affective_computing_course/analysis/acs.md b/affective_computing_course/analysis/acs.md index 9ebbcc13..8ad9838a 100644 --- a/affective_computing_course/analysis/acs.md +++ b/affective_computing_course/analysis/acs.md @@ -1,6 +1,6 @@ -#Cognitive approach to emotions articles analysis +# Cognitive approach to emotions articles analysis -##Interoceptive inference, emotion, and the embodied self +## Interoceptive inference, emotion, and the embodied self Crucially, none identify emotional states with top-down inference of the causes of interoceptive signals, as argued here (and as recently taken up by others [9]). Rather, they emphasize a continuous, dynamic, but largely bottom-up interoceptive representational hierarchy that interacts with other perceptions to motivate behaviour. Perhaps more closely related is the suggestion that the AIC is involved in errorbased learning of feeling states and uncertainty [15]; here, the notion of ‘prediction error’ is expressed in terms of change detection and salience rather than through mechanisms of predictive coding. @@ -18,9 +18,9 @@ For example, word recognition memory is modulated by the timing of vis Considering interoceptive inference and the AIC as its likely brain basis further enhances the explanatory potential of this framework for psychopathology. Links between perceptions of bodily state and emotional and neuropsychiatric disorders are well established. For example, alexithymia (broadly, deficits in emotional awareness) is associated with failure to engage AIC [81] and with degeneration of AIC and of VENs (Box 2) in the context of fronto-temporal dementia [82,83]. -##On the Role of Emotion in Embodied Cognitive Architectures: From Organisms to Robots +## On the Role of Emotion in Embodied Cognitive Architectures: From Organisms to Robots -of a larger shift from the so-calledcomputer metaphor for mind and the view of cognition as mainly taking place ‘in the head’ toward theories and models ofembodied cognition that emphasize the interaction of agents and their environments [12, 13, 31, 61, 62, 73, 76, 86]. +of a larger shift from the so-calledcomputer metaphor for mind and the view of cognition as mainly taking place ‘in the head’ toward theories and models ofembodied cognition that emphasize the interaction of agents and their environments [12, 13, 31, 61, 62, 73, 76, 86]. Damasio [19], on the other hand, identified what he called ‘‘the prevalent absence of a notion of organism in the sciences of mind and brain’’ as a problem, which he elaborated as follows: ‘‘It is not just that the mind remained linked to the brain in a rather equivocal relationship, but that the brain remained consistently separated from the body and thus not part of the deeply interwoven mesh of body and brain that defines a complex living organism.’ diff --git a/affective_computing_course/cognitive_architectures.md b/affective_computing_course/cognitive_architectures.md index 12fdc306..137bd072 100644 --- a/affective_computing_course/cognitive_architectures.md +++ b/affective_computing_course/cognitive_architectures.md @@ -1,11 +1,11 @@ -#Cognitive architectures +# Cognitive architectures -##Cognitive affective architecture by [Ziemke and Lowe] +## Cognitive affective architecture by [Ziemke and Lowe]  "Cognitive-affective architecture schematic involving different levels of homeostatic regulation and behavioral organization in robotic agents. The left-hand side relates essential mechanisms to organism-integrated organization with respect to adequate to superior" -##References +## References 1. [Tom Ziemke and Robert Lowe, On the Role of Emotion in Embodied Cognitive Architectures: From Organisms to Robots](http://link.springer.com/article/10.1007%2Fs12559-009-9012-0?LI=true) diff --git a/affective_computing_course/lab_0.md b/affective_computing_course/lab_0.md index 31122b3c..c655d608 100644 --- a/affective_computing_course/lab_0.md +++ b/affective_computing_course/lab_0.md @@ -1,6 +1,6 @@ -#Intro lab +# Intro lab -##Research project for affective computation +## Research project for affective computation Artificial emotions 1. Requirements (vision) @@ -20,6 +20,6 @@ Artificial emotions 2. Demo 1. Conclusion -##Vision +## Vision Bla bla diff --git a/applied_machine_consciosness_course/consciousness.md b/applied_machine_consciosness_course/consciousness.md index 01279a8f..0d4a280b 100644 --- a/applied_machine_consciosness_course/consciousness.md +++ b/applied_machine_consciosness_course/consciousness.md @@ -1,13 +1,13 @@ -#Consciousness +# Consciousness -#Icebreaker +# Icebreaker Soul? -##Marvin Minsky +## Marvin Minsky Based on Marvin Minksy chapter of "The emotion machine" -###What is Consciousness? +### What is Consciousness? Sri Chinmoy 2003: "Consciousness is the inner spark or inner link in us, the golden link within us that connects our highest and most illumined part with our lowest and most unillumined part." @@ -17,17 +17,17 @@ Jerry Fodor 1992: "Nobody has the slightest idea how anything material could be For, consciousness is one of those suitcase-like words that we use for many types of processes, and for different kinds of purposes. It’s the same for most of our other words about minds, such as awareness, sentience, or intelligence. -Thinker 1: Consciousness is what binds all our mental events together, and thus unifies our present, past, and future into our continuous sense of experience. +Thinker 1: Consciousness is what binds all our mental events together, and thus unifies our present, past, and future into our continuous sense of experience. -Thinker 2: Consciousness makes us "aware" of ourselves, and gives us our sense of identity; it is what animates our minds and gives us our sense of being alive. +Thinker 2: Consciousness makes us "aware" of ourselves, and gives us our sense of identity; it is what animates our minds and gives us our sense of being alive. Thinker 3: Consciousness is what gives things meaning to us; without it, we would not even know we had feelings. -##Unpacking the Suitcase of Consciousness +## Unpacking the Suitcase of Consciousness Aaron Sloman 1994: "It is not worth asking how to define consciousness, how to explain it, how it evolved, what its function is, etc., because there’s no one thing for which all the answers would be the same. Instead, we have many sub-capabilities, for which the answers are different: e.g., different kinds of perception, learning, knowledge, attention control, self-monitoring, self-control, etc." -###Everyday example +### Everyday example Joan is starting to cross the street on the way to deliver her finished report. While thinking about what to say at the meeting, she hears a sound and turns her head—and sees a quickly oncoming car. Uncertain as to whether to cross or retreat, but uneasy about arriving late, Joan decides to sprint across the road. She later remembers her injured knee and reflects upon her impulsive decision. "If my knee had failed, I could have been killed. Then what would my friends have thought of me?" @@ -64,12 +64,12 @@ Joan is starting to cross the street on the way to deliver her finished report. * **Self-Imaging**: She made and used models of herself. * **Sense of Identity**: She regarded herself as an entity. -#Icebreaker +# Icebreaker 1. Is the consciousness needed for the AI? 1. Is a consciousness achievable for the AI? -###a-Brains and B-Brains +### a-Brains and B-Brains  @@ -81,21 +81,21 @@ Joan is starting to cross the street on the way to deliver her finished report.  -###Model of six +### Model of six  -* What caused Joan to turn toward that sound? [**Instinctive**] +* What caused Joan to turn toward that sound? [**Instinctive**] * How did she know that it was the sound of a car? [**Learned**] -* What resources were used to make her decision? [**Deliberative**] -* How did she choose which resources to use? [**Reflective**] -* Did she feel that she made a good decision? [**Self-Reflective**] +* What resources were used to make her decision? [**Deliberative**] +* How did she choose which resources to use? [**Reflective**] +* Did she feel that she made a good decision? [**Self-Reflective**] * Did her actions live up to her principles? [**Self-Conscious**] **The Organism Principle**: When a system evolves to become more complex, this always involves a compromise: if its parts become too separate, then the system’s abilities will be limited—but if there are too many interconnections, then each change in one part will disrupt many others. -###How do we start thinking consciously +### How do we start thinking consciously High level activities often include following: @@ -106,11 +106,11 @@ High level activities often include following:  -####Self-Models +#### Self-Models We all construct mental models that describe our various mental states, bodies of knowledge about our abilities, depictions of our acquaintances, and collections of stories about our pasts. Then, whenever we use our models of ourselves, we tend to use terms like conscious when those reflections lead to choices we make, and we use unconscious or unintentional to describe those activities that we regard as beyond our control. -####Serial processes +#### Serial processes The processes involved with walking, seeing, and talking take place in different parts of your brain, so they don’t need to compete for resources—whereas, for drawing a table and drawing a chair, you are likely to need to use the same higher-level resources to form and keep track of some intricate plans. @@ -120,7 +120,7 @@ The processes involved with walking, seeing, and talking take place in different  -####Recent Memories +#### Recent Memories We usually think of consciousness as being about what’s happening now—that is, in the present, rather than in the past. However, it would always take some amount of time for any particular part of a brain or machine to find out what other parts have recently done. For example, suppose that someone asked, "Are you aware that you’re touching your ear?" You would not be able to reply until your language resources had time to react to signals from other parts of your brain that, in turn, have reacted to prior events. @@ -130,39 +130,39 @@ We usually think of consciousness as being about what’s happening now—that i **The Immanence Illusion**: For most of the questions you would otherwise ask, some answers will have already arrived before the higher levels of your mind have had enough time to ask for them. -##Igor Alexander +## Igor Alexander Let **A** be an agent in a sensorily-accessible world **S**. For **A** to be conscious of **S** it is necessary that: -###Axiom 1 (Depiction) +### Axiom 1 (Depiction) **A** has perceptual states that depict parts of **S**. -###Axiom 2 (Imagination) +### Axiom 2 (Imagination) **A** has internal imaginational states that *recall* parts of **S** or fabricate **S-like** sensations. -###Axiom 3 (Attention): +### Axiom 3 (Attention): **A** is capable of selecting which parts of **S** to depict or what to imagine. -###Axiom 4 (Planning): +### Axiom 4 (Planning): **A** has means of control over imaginational state *sequences* to plan actions. -###Axiom 5 (Emotion): +### Axiom 5 (Emotion): **A** has additional **affective states** that evaluate planned actions and determine the ensuing action .  -##Neurophysiological view +## Neurophysiological view  -When the team zapped the area with high frequency electrical impulses, the woman lost consciousness. She stopped reading and stared blankly into space, she didn't respond to auditory or visual commands and her breathing slowed. As soon as the stimulation stopped, she immediately regained consciousness with no memory of the event. The same thing happened every time the area was stimulated during two days of experiments +When the team zapped the area with high frequency electrical impulses, the woman lost consciousness. She stopped reading and stared blankly into space, she didn't respond to auditory or visual commands and her breathing slowed. As soon as the stimulation stopped, she immediately regained consciousness with no memory of the event. The same thing happened every time the area was stimulated during two days of experiments -##References +## References 1. [Marvin Minsky, lecture consciousness, part 1](http://video.mit.edu/watch/lecture-6-consciousness-1351/) 1. [Marvin Minsky, lecture consciousness, part 2](http://video.mit.edu/watch/lecture-7-consciousness-cont-1487/) diff --git a/applied_machine_consciosness_course/intro.md b/applied_machine_consciosness_course/intro.md index ac46318a..b9689d54 100644 --- a/applied_machine_consciosness_course/intro.md +++ b/applied_machine_consciosness_course/intro.md @@ -1,6 +1,6 @@ -#Intro +# Intro -##AI is the challenge +## AI is the challenge 1. Biggest - we simply do not know what is natural intelligence. 1. Derivative: what is consciousness? @@ -9,23 +9,23 @@ 1. Derivative: what is emotion? Why do we need emotions? What is emotional thinking? Does AI need emotion? 1. Are those questions above only philosophical? -##Some numbers -Biggest NN built so far - [2013 RIKEN created NEST NN]((http://www.riken.jp/en/pr/press/2013/20130802_1)), according to the is report there were 1.7 billon of neurons with ... trillion of synapses. Is it big enough? +## Some numbers +Biggest NN built so far - [2013 RIKEN created NEST NN]((http://www.riken.jp/en/pr/press/2013/20130802_1)), according to the is report there were 1.7 billon of neurons with ... trillion of synapses. Is it big enough? Human brain(typical) contains [86 billion of neurons](http://en.wikipedia.org/wiki/List_of_animals_by_number_of_neurons). Cats brain contains 1.5 billon neurons. Monkeys (night monkey) cerebral cortex contains 1.7 billon of neurons. -Consider energy consumption! +Consider energy consumption! Do you think anyone could be interested in robot with power station? -##Good news +## Good news [IBM in the SyNAPSE project](http://www.research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml#fbid=f1HQ57tWR3E), developed a chip that emulated 256 neurons, now 1 million, based on new elements - memristors. This year scientists from Stanford university developed [NeuroGrid](http://news.stanford.edu/pr/2014/pr-neurogrid-boahen-engineering-042814.html): the chip prototype that is capable of implementing the functions of one million of neurons and consumes 10 000 times less energy. -##Any challenges missed? +## Any challenges missed? 1. Creativity? 1. Imagination? @@ -33,7 +33,7 @@ This year scientists from Stanford university developed [NeuroGrid](http://news. 1. Reasonableness? 1. Intuition? -##Keywords +## Keywords 1. Artificial Life 1. Learning (training) @@ -42,10 +42,9 @@ This year scientists from Stanford university developed [NeuroGrid](http://news. 1. Technological Singularity 1. AI winter -##References +## References 1. [Largest neuronal network simulation achieved using K computer](http://www.riken.jp/en/pr/press/2013/20130802_1) 1. [List of animals by number of neurons](http://en.wikipedia.org/wiki/List_of_animals_by_number_of_neurons) 1. [Neurosynaptic chips, IBM](http://www.research.ibm.com/cognitive-computing/neurosynaptic-chips.shtml#fbid=f1HQ57tWR3E) 1. [Stanford bioengineers create circuit board modeled on the human brain](http://news.stanford.edu/pr/2014/pr-neurogrid-boahen-engineering-042814.html) - diff --git a/applied_machine_consciosness_course/levels_of_mental_activities.md b/applied_machine_consciosness_course/levels_of_mental_activities.md index 804f317e..3e3710f2 100644 --- a/applied_machine_consciosness_course/levels_of_mental_activities.md +++ b/applied_machine_consciosness_course/levels_of_mental_activities.md @@ -1,14 +1,14 @@ -#Levels of mental activities +# Levels of mental activities Based on Marvin Minksy chapter of "The emotion machine" -#Icebreaker +# Icebreaker [Evaluations of talent](http://serious-science.org/videos/1507) -##Everyday example +## Everyday example `Joan is starting to cross the street on the way to deliver her finished report. While thinking about what to say at the meeting, she hears a sound and turns her head—and sees a quickly oncoming car. Uncertain whether to cross or retreat but uneasy about arriving late, Joan decides to sprint across the road. She later remembers her injured knee and reflects upon her impulsive decision. “If my knee had failed, I could have been killed—and what would my friends have thought of me?”` -##Model of six +## Model of six  @@ -19,7 +19,7 @@ Based on Marvin Minksy chapter of "The emotion machine" * **Self-Reflective Thinking**: Uneasy about arriving late. Here we find her thinking about plans that she has made for herself. * **Self-Conscious Emotions**: What would my friends have thought of me? Here Joan asks how well her actions agreed with her ideals. -##Instinctive Reactions +## Instinctive Reactions  @@ -29,7 +29,7 @@ Based on Marvin Minksy chapter of "The emotion machine"  -##Learned Reactions +## Learned Reactions  @@ -37,7 +37,7 @@ When an animal faces a new situation, it tries a random sequence of actions. The In any case, although many of our actions are based on inborn, instinctive reactions to things, we’re constantly developing new ways to react to situations—this requires a second layer for our model of how our brains are organized. -##Deliberative thinking +## Deliberative thinking If a car is approaching, Do retreat. If in street, Do cross the street. However, for Joan to make decisions like this, she needs some way to predict and compare the possible futures those actions might bring. What could help Joan to make such predictions? The simplest way would be for her to possess a collection of three-part **If + Do -> Then** rules, where each **If** describes a situation, each **Do** describes a possible action, and each **Then** depicts what might be a possible result of doing that action. @@ -53,7 +53,7 @@ But what if more than one such rule applies to the present situation. Then one c  -###Four step plan to build an arch +### Four step plan to build an arch  @@ -63,7 +63,7 @@ But wait, there’s more. Suppose that you have some way to guess where that mid  -###Logic vs. Commonsense +### Logic vs. Commonsense If A implies B, and B implies C, then A implies C. But when does such “logical thinking” work? @@ -73,12 +73,12 @@ So using logic is somewhat like walking a plank; it assumes that each separate s And those frailties grow exponentially with increasingly longer chains, because every additional inference-step may give the chain more ways to break. This is why, when people present their arguments, they frequently interrupt themselves to add more evidence or analogies; they sense the need to further support the present step before they proceed to the next one. -#Icebreaker +# Icebreaker [Stop and listen (demo of organizm principle)](http://www.sciencedaily.com/releases/2014/08/140827141700.htm) -##Reflective thinking +## Reflective thinking So far as any of us can recall, we’ve always been able to do such things: we simply remember our earlier thoughts and then proceed to think about them. However, when we look more closely, we see that this requires a lot of machinery. @@ -86,7 +86,7 @@ So far as any of us can recall, we’ve always been able to do such things: we s Student: Would we want to say "conscious" for such a machine? It includes most of the features you mentioned in Chapter 4-5, namely, short-term memory, serial processing, and high-level descriptions. -##Self-reflection +## Self-reflection Our self-reflective level does more than does the reflective layer discussed above: it not only considers some recent thoughts, but it also thinks about the entity that had those thoughts—as when Carol said in Section 5-3, “I simply imagined an arch in my mind—and saw where each of the blocks should go.” This shows that she is using a model of herself (like the one in Chapter 4-7) that describes some of her goals and abilities. @@ -94,7 +94,7 @@ Our self-reflective level does more than does the reflective layer discussed abo To see the importance of self-reflection, consider how smart it is to know you’re confused (as opposed to being confused without knowing this)—because then you can tell yourself to elevate to a larger-scale view of your motives and goals. This could help you to recognize that you have lost track of what you were trying to do, or have been wasting time on minor details, or that you chose a poor goal to pursue. This could lead to your making a better plan—or might even lead to a large-scale cascade like, “Just thinking about this makes me feel ill. Perhaps it’s time to switch to some completely different activity. -##Self-conscious reflection +## Self-conscious reflection Joan must have built some models of the kinds of ideas that she "ought" to have. Then when she finds conflicts between how she behaves and the values of those to whom she’s attached, this could lead to the kinds of cascades we called "self-conscious emotions". @@ -102,12 +102,12 @@ Joan must have built some models of the kinds of ideas that she "ought" to have.  -##Imagination +## Imagination   -How do you recognize features in pictures so sparse that a nose or an eye is but three or four patches of darkness or light? Clearly, you do this by using additional knowledge. For example, when you sit at a table across from your friends, you cannot see their backs or legs—but your knowledge-based systems assume by default that all those body-parts are present. Thus we take our perceptual talents for granted—but ‘seeing’ seems simple only because the rest of our minds are virtually blind to the processes that we use to do it. +How do you recognize features in pictures so sparse that a nose or an eye is but three or four patches of darkness or light? Clearly, you do this by using additional knowledge. For example, when you sit at a table across from your friends, you cannot see their backs or legs—but your knowledge-based systems assume by default that all those body-parts are present. Thus we take our perceptual talents for granted—but ‘seeing’ seems simple only because the rest of our minds are virtually blind to the processes that we use to do it.  @@ -125,7 +125,7 @@ All this means that the higher levels of your brain never perceive a visual scen  -##Prediction Machines +## Prediction Machines  @@ -135,6 +135,6 @@ By repeating its cycle of operation, such a machine could look further into the  -##References +## References 1. [Marvin Minsky, The emotion machine Draft, Levels of mental activities](http://web.media.mit.edu/~minsky/E5/eb5.html) diff --git a/applied_machine_consciosness_course/neurons_and_chemical_synapses.md b/applied_machine_consciosness_course/neurons_and_chemical_synapses.md index e542b837..b037d5ed 100644 --- a/applied_machine_consciosness_course/neurons_and_chemical_synapses.md +++ b/applied_machine_consciosness_course/neurons_and_chemical_synapses.md @@ -1,10 +1,10 @@ -#Neurons and chemical synapses +# Neurons and chemical synapses -#Neuron +# Neuron  -##Types of neurons according to neurotransmitter +## Types of neurons according to neurotransmitter 1. **Cholinergic neurons—acetylcholine**. Acetylcholine is released from presynaptic neurons into the synaptic cleft. It acts as a ligand for both ligand-gated ion channels and metabotropic (GPCRs) muscarinic receptors. Nicotinic receptors, are pentameric ligand-gated ion channels composed of alpha and beta subunits that bind nicotine. Ligand binding opens the channel causing influx of Na+ depolarization and **increases the probability of presynaptic neurotransmitter release**. 1. **GABAergic neurons—gamma aminobutyric acid**. GABA is one of two neuroinhibitors in the CNS, the other being Glycine. GABA has a homologous function to ACh, gating anion channels that allow Cl− ions to enter the post synaptic neuron. Cl− causes hyperpolarization within the neuron, **decreasing the probability of an action potential firing** as the voltage becomes more negative (recall that for an action potential to fire, a positive voltage threshold must be reached). @@ -14,11 +14,11 @@ "The fruit fly Drosophila melanogaster, a common subject in biological experiments, has around 100,000 neurons and exhibits many complex behaviors. Many properties of neurons, from the type of neurotransmitters used to ion channel composition, are maintained across species, allowing scientists to study processes occurring in more complex organisms in much simpler experimental systems." -##Chemical Synapse +## Chemical Synapse  -###Signaling in chemical synapses +### Signaling in chemical synapses [](http://commons.wikimedia.org/wiki/File:Synapse.theora.ogv?embedplayer=yes) @@ -32,26 +32,26 @@ * Due to thermal vibration, neurotransmitter molecules eventually break loose from the receptors and drift away. * The neurotransmitter is either reabsorbed by the presynaptic cell, and then repackaged for future release, or else it is broken down metabolically. -##Neurotransmission +## Neurotransmission  -###Synaptic plasticity +### Synaptic plasticity -####Homosynaptic plasticity +#### Homosynaptic plasticity "Homosynaptic Plasticity (or also homotropic modulation) is a change in the synaptic strength that results from the history of activity at a particular synapse. This can result from changes in presynaptic calcium as well as feedback onto presynaptic receptors, i.e. a form of autocrine signaling. Homosynaptic plasticity can affect the number and replenishment rate of vesicles or it can affect the relationship between calcium and vesicle release. Homosynaptic plasticity can also be postsynaptic in nature. It can result in either an increase or decrease in synaptic strength." -####Heterosynaptic plasticity +#### Heterosynaptic plasticity "Heterosynaptic Plasticity (or also heterotropic modulation) is a change in synaptic strength that results from the activity of other neurons. Again, the plasticity can alter the number of vesicles or their replenishment rate or the relationship between calcium and vesicle release. Additionally, it could directly affect calcium influx. Heterosynaptic plasticity can also be postsynaptic in nature, affecting receptor sensitivity." -#Icebreaker +# Icebreaker [New model of neuron explains why neuron impulses do not interfere.](http://www.sciencedaily.com/releases/2014/09/140910120417.htm) -##Electrical Synapse +## Electrical Synapse  @@ -59,22 +59,22 @@ "The synaptic delay for a chemical synapse is typically about 2 ms, whereas the synaptic delay for an electrical synapse may be about 0.2 ms." -##Long term potentiation +## Long term potentiation     -##Long term depression +## Long term depression  -##Hebbian plasticity +## Hebbian plasticity  -##References +## References 1. [Neuron Wikipedia page](http://en.wikipedia.org/wiki/Neuron) 1. [Chemical synapse Wikipedia page](http://en.wikipedia.org/wiki/Chemical_synapses) diff --git a/applied_machine_consciosness_course/syllabus.md b/applied_machine_consciosness_course/syllabus.md index 9c579dbf..3e263e4b 100644 --- a/applied_machine_consciosness_course/syllabus.md +++ b/applied_machine_consciosness_course/syllabus.md @@ -1,4 +1,4 @@ -#Applied machine consciousness syllabus +# Applied machine consciousness syllabus Max Talanov: talanov.max@gmail.com @@ -17,7 +17,7 @@ Max Talanov: talanov.max@gmail.com 3. Cellular layer: Hebbian and anti-Hebbian learning 3. Associations, Circuits, K-lines, Cognits 3. Distributed systems memory - 2. Instincts + 2. Instincts 2. Learning 3. Memory: synchronization and association 3. Curiosity diff --git a/cognitive_technologies_seminars/2013-03-26CognitiveTechnologiesSeminar.md b/cognitive_technologies_seminars/2013-03-26CognitiveTechnologiesSeminar.md index d487f1a9..0fdec3e5 100644 --- a/cognitive_technologies_seminars/2013-03-26CognitiveTechnologiesSeminar.md +++ b/cognitive_technologies_seminars/2013-03-26CognitiveTechnologiesSeminar.md @@ -1,4 +1,4 @@ -#Cognitive technologies overview. +# Cognitive technologies overview. ## Plan 1. Intro @@ -106,7 +106,7 @@ Is the framework, like a sandbox that collects some technologies to build machin 1. RelEx and Linkgrammar – Extract grammatical parses and semantic knowledge from natural language (in English). 1. NLGen and NLGen2 – Convert semantic relationships to natural language. -### References +### References http://opencog.org/projects/ @@ -133,12 +133,3 @@ http://en.wikipedia.org/wiki/Sikuli 1. Reasoning 1. Dialog support 1. ... - - - - - - - - - diff --git a/cognitive_technologies_seminars/2013-05-13Reasoners.md b/cognitive_technologies_seminars/2013-05-13Reasoners.md index 5a9bca5b..4bb16b38 100644 --- a/cognitive_technologies_seminars/2013-05-13Reasoners.md +++ b/cognitive_technologies_seminars/2013-05-13Reasoners.md @@ -1,6 +1,6 @@ -#Reasoners overview. +# Reasoners overview. -#Plan +# Plan 1. What is semantic reasoner? 2. Two types of reasoners diff --git a/cognitive_technologies_seminars/2013-06-04AINLSeminar.md b/cognitive_technologies_seminars/2013-06-04AINLSeminar.md index 0e67b4fa..99ac5873 100644 --- a/cognitive_technologies_seminars/2013-06-04AINLSeminar.md +++ b/cognitive_technologies_seminars/2013-06-04AINLSeminar.md @@ -1,4 +1,4 @@ -#AINL conference +# AINL conference 1. What is AINL 1. First day highlights @@ -13,23 +13,23 @@ It is Artificial intelligence and natural language conference with main 3 compan 1. Yandex 1. i-Free 1. Mail.ru - -### Main goals: - + +### Main goals: + 1. Rise interest to NLP 1. Collect interesting ideas and positions in AI NLP field 1. Explore new collaboration opportunities - + Started from NL and then extended to AI. - + ## First day - + ### I remembered MGU :-) Анализ неявных предпочтений пользователей(Analysis of Hidden User Preferences) http://ainlconf.ru/node/view/biographyMikhailAgeev - + ### Ingria -Patents expert Kruchinin: methods to protect bananas. +Patents expert Kruchinin: methods to protect bananas. http://ainlconf.ru/node/view/biographyMikhailKruchinin ### RUSSOFT @@ -74,4 +74,4 @@ http://www.sk.ru/ ## Demo session - \ No newline at end of file + diff --git a/cognitive_technologies_seminars/2013-09-20 Computational emotional thinking model.md b/cognitive_technologies_seminars/2013-09-20 Computational emotional thinking model.md index b75bf275..834e05ed 100644 --- a/cognitive_technologies_seminars/2013-09-20 Computational emotional thinking model.md +++ b/cognitive_technologies_seminars/2013-09-20 Computational emotional thinking model.md @@ -21,7 +21,7 @@  -####Example of processing with Metafor: +#### Example of processing with Metafor: **(4) When a customer orders a drink, the bartender tries to make it. When the bartender is asked to make a drink, he makes it and gives it to the customer only if the drink is in the menu's drinks; otherwise, the bartender says "sorry i don't know how to make that drink" to the customer.** @@ -52,7 +52,7 @@ class customer: bartender.make(drink) ``` -####Video +#### Video ... @@ -79,7 +79,7 @@ class customer: ## Emotional computing system management -###Kismet +### Kismet  @@ -88,7 +88,7 @@ class customer: 2. In voice messages 1. Emotions and consciousness -##Monoamines model +## Monoamines model **Noradrenaline** influences overall speed of thinking process, **dopamine** and **serotonin** - reward processing and learning. @@ -122,23 +122,23 @@ class customer: **For example**: system is in fear state. Dopamine impacts system at half strength. This makes system choose actions highlighted with high rewards(safest in case of fear). High noradrenaline in rage state causes system to think as quick as possible taking in account as less as possible number of options, implementing first action(usually not really safe) selected "fight or flight" reaction. -##What are the neuromodulators? +## What are the neuromodulators? -###Neurotransmission +### Neurotransmission  -###Neuromodulation +### Neuromodulation  ## Emotions objective and subjective. -1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. -2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). +1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. +2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). 3. *Nor-adrenaline* impacts attention, vigilance, activity. -### Lövheim cube of emotions +### Lövheim cube of emotions  @@ -170,7 +170,7 @@ The other perspective is psychology. We use Plutchik approach as main psycholog 1. Acceptance - disgust 1. Surprise - expectancy -Emotions are organised in three dimensional circumplex model where third dimension is emotional strength. Basic emotions could be mixed based on color theory, in higher more complex emotions. +Emotions are organised in three dimensional circumplex model where third dimension is emotional strength. Basic emotions could be mixed based on color theory, in higher more complex emotions. ## Emotional processes @@ -181,7 +181,7 @@ Plutchik describes emotional process as following: 1. *Stimulus event* the inbound event, ex.: sound, vision, text message ... 1. *Inferred cognition* appraisal and understanding of event 1. *Psychological arousal* psychological response of organism -1. *Feeling the state* actual being in the state. +1. *Feeling the state* actual being in the state. 1. *Impulses to action* 1. *Behavior* motor response 1. *Effect* changes in the environment @@ -202,7 +202,7 @@ Model of six thinking levels: All thinking processes are developed in levels listed above. We use following assumption: emotions as part of thinking, at least conscious processes, should fit thinking model. This way all emotional processed should be expressed in terms of thinking model(levels). This could be understood as base of computational emotional thinking approach. 1. *Inbound stimulus* is been processed(transmitted/apprised) via spinal cord, hypothalamus, amygdala and all these neuronal systems take part in neuromodulation. -1. *Neuromodulation* actually triggers the emotional state of human and all the rest actions are done under the influence of neuromodulatory systems: nor-adrenaline, dopamine, serotonin. +1. *Neuromodulation* actually triggers the emotional state of human and all the rest actions are done under the influence of neuromodulatory systems: nor-adrenaline, dopamine, serotonin. 1. *Instinctive behavior* is processed on instinctive reactions layer that usually is not involved in conscious actions. 1. *Result of behavior actions* is effect state that influences the system again as stimulus. This second stimulus is been apprised on instinctive reactions layer and triggers neuromodulation again. Neuromodulation in it's turn switches emotional state second time. This way stimulus cognition actions started in first emotional state, at some point could continue in second emotional state. 1. *Stimulus cognition* is processed in cingulate cortex, frontal cortex (working memory) that we correspond to rest 5 layers of thinking model. Stimulus cognition actions is done in the emotional state under influence of neuromodulation. Stimulus cognition could involve deliberation, further reflection, sef-reflection self-conscious processing (higher emotions) and emotional state switch. @@ -217,20 +217,20 @@ Rosalind Picard in her article "What does it mean for a computer to "have" emoti 1. Emotional experience 1. Mind-body interactions -Emotional appearance is not discussed in this work. +Emotional appearance is not discussed in this work. -Multi-level emotion cognition and behavior generation was demonstrated in "Emotions in six thinking levels" and "Feeling the state and neuromodulation" sections. +Multi-level emotion cognition and behavior generation was demonstrated in "Emotions in six thinking levels" and "Feeling the state and neuromodulation" sections. -Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. +Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. -Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. +Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. -Conscious and non-conscious mechanisms of stimulus processing was presented. +Conscious and non-conscious mechanisms of stimulus processing was presented. Psychological and biochemical changes where presented in "Feeling the state and neuromodulation" and "Neuromodulation to computing system management mapping". -##Back to original example +## Back to original example Consciousness and emotions. -#Thank you. +# Thank you. diff --git a/cognitive_technologies_seminars/2014-12-10 Computational affective thinking model .md b/cognitive_technologies_seminars/2014-12-10 Computational affective thinking model .md index b817ca6c..cf6f090c 100644 --- a/cognitive_technologies_seminars/2014-12-10 Computational affective thinking model .md +++ b/cognitive_technologies_seminars/2014-12-10 Computational affective thinking model .md @@ -21,7 +21,7 @@  -####Example of processing with Metafor: +#### Example of processing with Metafor: **(4) When a customer orders a drink, the bartender tries to make it. When the bartender is asked to make a drink, he makes it and gives it to the customer only if the drink is in the menu's drinks; otherwise, the bartender says "sorry i don't know how to make that drink" to the customer.** @@ -52,7 +52,7 @@ class customer: bartender.make(drink) ``` -####Video +#### Video [...](http://web.media.mit.edu/~hugo/demos/metafor-bartender-simple.mov) @@ -63,7 +63,7 @@ class customer: 1. Not capable of thinking ... 1. Too many stupid rules. -###Machine cognition +### Machine cognition Machine cognition (understanding) <- Machine consciousness <- Machine emotions (affective computations) @@ -82,7 +82,7 @@ Machine cognition (understanding) <- Machine consciousness <- Machine emotions ( ## Emotional computing system management -###Kismet +### Kismet  @@ -91,7 +91,7 @@ Machine cognition (understanding) <- Machine consciousness <- Machine emotions ( 2. In voice messages 1. Emotions and consciousness -##Monoamines model +## Monoamines model **Noradrenaline** influences overall speed of thinking process, **dopamine** and **serotonin** - reward processing and learning. @@ -125,23 +125,23 @@ Machine cognition (understanding) <- Machine consciousness <- Machine emotions ( **For example**: system is in fear state. Dopamine impacts system at half strength. This makes system choose actions highlighted with high rewards(safest in case of fear). High noradrenaline in rage state causes system to think as quick as possible taking in account as less as possible number of options, implementing first action(usually not really safe) selected "fight or flight" reaction. -##What are the neuromodulators? +## What are the neuromodulators? -###Neurotransmission +### Neurotransmission  -###Neuromodulation +### Neuromodulation  ## Emotions objective and subjective. -1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. -2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). +1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. +2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). 3. *Nor-adrenaline* impacts attention, vigilance, activity. -### Lövheim cube of emotions +### Lövheim cube of emotions  @@ -173,7 +173,7 @@ The other perspective is psychology. We use Plutchik approach as main psycholog 1. Acceptance - disgust 1. Surprise - expectancy -Emotions are organised in three dimensional circumplex model where third dimension is emotional strength. Basic emotions could be mixed based on color theory, in higher more complex emotions. +Emotions are organised in three dimensional circumplex model where third dimension is emotional strength. Basic emotions could be mixed based on color theory, in higher more complex emotions. ## Emotional processes @@ -184,7 +184,7 @@ Plutchik describes emotional process as following: 1. *Stimulus event* the inbound event, ex.: sound, vision, text message ... 1. *Inferred cognition* appraisal and understanding of event 1. *Psychological arousal* psychological response of organism -1. *Feeling the state* actual being in the state. +1. *Feeling the state* actual being in the state. 1. *Impulses to action* 1. *Behavior* motor response 1. *Effect* changes in the environment @@ -205,7 +205,7 @@ Model of six thinking levels: All thinking processes are developed in levels listed above. We use following assumption: emotions as part of thinking, at least conscious processes, should fit thinking model. This way all emotional processed should be expressed in terms of thinking model(levels). This could be understood as base of computational emotional thinking approach. 1. *Inbound stimulus* is been processed(transmitted/apprised) via spinal cord, hypothalamus, amygdala and all these neuronal systems take part in neuromodulation. -1. *Neuromodulation* actually triggers the emotional state of human and all the rest actions are done under the influence of neuromodulatory systems: nor-adrenaline, dopamine, serotonin. +1. *Neuromodulation* actually triggers the emotional state of human and all the rest actions are done under the influence of neuromodulatory systems: nor-adrenaline, dopamine, serotonin. 1. *Instinctive behavior* is processed on instinctive reactions layer that usually is not involved in conscious actions. 1. *Result of behavior actions* is effect state that influences the system again as stimulus. This second stimulus is been apprised on instinctive reactions layer and triggers neuromodulation again. Neuromodulation in it's turn switches emotional state second time. This way stimulus cognition actions started in first emotional state, at some point could continue in second emotional state. 1. *Stimulus cognition* is processed in cingulate cortex, frontal cortex (working memory) that we correspond to rest 5 layers of thinking model. Stimulus cognition actions is done in the emotional state under influence of neuromodulation. Stimulus cognition could involve deliberation, further reflection, sef-reflection self-conscious processing (higher emotions) and emotional state switch. @@ -220,21 +220,21 @@ Rosalind Picard in her article "What does it mean for a computer to "have" emoti 1. Emotional experience 1. Mind-body interactions -Emotional appearance is not discussed in this work. +Emotional appearance is not discussed in this work. -Multi-level emotion cognition and behavior generation was demonstrated in "Emotions in six thinking levels" and "Feeling the state and neuromodulation" sections. +Multi-level emotion cognition and behavior generation was demonstrated in "Emotions in six thinking levels" and "Feeling the state and neuromodulation" sections. -Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. +Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. -Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. +Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. -Conscious and non-conscious mechanisms of stimulus processing was presented. +Conscious and non-conscious mechanisms of stimulus processing was presented. Psychological and biochemical changes where presented in "Feeling the state and neuromodulation" and "Neuromodulation to computing system management mapping". -##Cognition and consciousness and emotions. +## Cognition and consciousness and emotions.  -#Thank you. +# Thank you. diff --git a/cognitive_technologies_seminars/2014-12-17 Computational affective thinking model Techtalk.md b/cognitive_technologies_seminars/2014-12-17 Computational affective thinking model Techtalk.md index 8a846f05..3e010b02 100644 --- a/cognitive_technologies_seminars/2014-12-17 Computational affective thinking model Techtalk.md +++ b/cognitive_technologies_seminars/2014-12-17 Computational affective thinking model Techtalk.md @@ -22,7 +22,7 @@  -####Video +#### Video [...](http://web.media.mit.edu/~hugo/demos/metafor-bartender-simple.mov) @@ -33,13 +33,13 @@ 1. Not capable of thinking ... 1. Too many stupid rules. -##Machine cognition +## Machine cognition **Machine cognition (understanding) <- Machine consciousness <- Machine emotions (affective computations)** ## Emotional computing system -###Kismet +### Kismet  @@ -61,7 +61,7 @@ 1. Nursing software 1. Applications in emotional robots -##Monoamines model +## Monoamines model **Noradrenaline** influences overall speed of thinking process, **dopamine** and **serotonin** - reward processing and learning. @@ -95,22 +95,22 @@ **For example**: system is in fear state. Dopamine impacts system at half strength. This makes system choose actions highlighted with high rewards(safest in case of fear). High noradrenaline in rage state causes system to think as quick as possible taking in account as less as possible number of options, implementing first action(usually not really safe) selected "fight or flight" reaction. -##What are the neuromodulators? +## What are the neuromodulators? -###Neurotransmission +### Neurotransmission  -###Neuromodulation +### Neuromodulation  -1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. -2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). +1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. +2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). 3. *Nor-adrenaline* impacts attention, vigilance, activity. -##Cognition and consciousness and emotions. +## Cognition and consciousness and emotions.  @@ -157,7 +157,7 @@ Plutchik describes emotional process as following: 1. *Stimulus event* the inbound event, ex.: sound, vision, text message ... 1. *Inferred cognition* appraisal and understanding of event 1. *Psychological arousal* psychological response of organism -1. *Feeling the state* actual being in the state. +1. *Feeling the state* actual being in the state. 1. *Impulses to action* 1. *Behavior* motor response 1. *Effect* changes in the environment @@ -186,16 +186,16 @@ Rosalind Picard in her article "What does it mean for a computer to "have" emoti 1. Emotional experience 1. Mind-body interactions -Emotional appearance is not discussed in this work. +Emotional appearance is not discussed in this work. -Multi-level emotion cognition and behavior generation was demonstrated in "Emotions in six thinking levels" and "Feeling the state and neuromodulation" sections. +Multi-level emotion cognition and behavior generation was demonstrated in "Emotions in six thinking levels" and "Feeling the state and neuromodulation" sections. -Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. +Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. -Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. +Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. -Conscious and non-conscious mechanisms of stimulus processing was presented. +Conscious and non-conscious mechanisms of stimulus processing was presented. Psychological and biochemical changes where presented in "Feeling the state and neuromodulation" and "Neuromodulation to computing system management mapping". -#Thank you. +# Thank you. diff --git a/cognitive_technologies_seminars/2015-03-26 Computational affective thinking model.md b/cognitive_technologies_seminars/2015-03-26 Computational affective thinking model.md index 05b5f699..b119c9a6 100644 --- a/cognitive_technologies_seminars/2015-03-26 Computational affective thinking model.md +++ b/cognitive_technologies_seminars/2015-03-26 Computational affective thinking model.md @@ -20,7 +20,7 @@ Max Talanov, Jordi Vallverdu, Salvatore Distefano, Manuel Mazzara, Radhakrishnan  -###Example of processing with Metafor: +### Example of processing with Metafor: **(4) When a customer orders a drink, the bartender tries to make it. When the bartender is asked to make a drink, he makes it and gives it to the customer only if the drink is in the menu's drinks; otherwise, the bartender says "sorry i don't know how to make that drink" to the customer.** @@ -51,7 +51,7 @@ class customer: bartender.make(drink) ``` -###Video +### Video [...](http://web.media.mit.edu/~hugo/demos/metafor-bartender-simple.mov) @@ -62,7 +62,7 @@ class customer: 1. Not capable of thinking ... 1. Too many stupid rules. -##Machine cognition +## Machine cognition **Machine cognition (understanding) <- Machine consciousness <- Machine emotions (affective computations)** @@ -72,7 +72,7 @@ class customer: ## Emotional computing system management -###Kismet +### Kismet  @@ -81,7 +81,7 @@ class customer: 2. In voice messages 1. Emotions and consciousness -##Monoamines model +## Monoamines model **Noradrenaline** influences overall speed of thinking process, **dopamine** and **serotonin** - reward processing and learning. @@ -117,21 +117,21 @@ class customer: **For example**: system is in fear state. Dopamine impacts system at half strength. This makes system choose actions highlighted with high rewards(safest in case of fear). High noradrenaline in rage state causes system to think as quick as possible taking in account as less as possible number of options, implementing first action(usually not really safe) selected "fight or flight" reaction. -##What are the neuromodulators? +## What are the neuromodulators? -###Neurotransmission +### Neurotransmission  -###Neuromodulation +### Neuromodulation  -1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. -2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). +1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. +2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). 3. *Nor-adrenaline* impacts attention, vigilance, activity. -### Lövheim cube of emotions +### Lövheim cube of emotions  @@ -194,14 +194,14 @@ Above threshold: Connectivity diagram showing excitatory glutamatergic pathways as red, inhibitory GABAergic pathways as blue, and modulatory dopaminergic pathways as magenta. (Abbreviations: GPe: globus pallidus external; GPi: globus pallidus internal; STN: subthalamic nucleus; SNc: substantia nigra compacta; SNr: substantia nigra reticulata) -The antagonistic functions of the direct and indirect pathways are modulated by the **substantia nigra pars compacta (SNc)**, which produces **dopamine**. In the presence of dopamine, D1-receptors in the basal ganglia stimulate the GABAergic neurons, favoring the direct pathway, and thus increasing movement. The GABAergic neurons of the indirect pathway are stimulated by excitatory neurotransmitters acetylcholine and glutamate. This sets off the indirect pathway that ultimately results in inhibition of upper motor neurons, and less movement. In the presence of dopamine, D2-receptors in the basal ganglia inhibit these GABAergic neurons, which reduces the indirect pathways inhibitory effect. **Dopamine therefore increases the excitatory effect of the direct pathway (causing movement) and reduces the inhibitory effect of the indirect pathway (preventing full inhibition of movement)**. +The antagonistic functions of the direct and indirect pathways are modulated by the **substantia nigra pars compacta (SNc)**, which produces **dopamine**. In the presence of dopamine, D1-receptors in the basal ganglia stimulate the GABAergic neurons, favoring the direct pathway, and thus increasing movement. The GABAergic neurons of the indirect pathway are stimulated by excitatory neurotransmitters acetylcholine and glutamate. This sets off the indirect pathway that ultimately results in inhibition of upper motor neurons, and less movement. In the presence of dopamine, D2-receptors in the basal ganglia inhibit these GABAergic neurons, which reduces the indirect pathways inhibitory effect. **Dopamine therefore increases the excitatory effect of the direct pathway (causing movement) and reduces the inhibitory effect of the indirect pathway (preventing full inhibition of movement)**. This way we simulate: 1. Cortex 1. Striatum 1. GPe: globus pallidus external -1. GPi: globus pallidus internal +1. GPi: globus pallidus internal 1. STN: subthalamic nucleus 1. SNc: substantia nigra compacta 1. SNr: substantia nigra reticulata @@ -249,15 +249,15 @@ Rosalind Picard in her article "What does it mean for a computer to "have" emoti 1. Emotional experience 1. Mind-body interactions -Emotional appearance is not discussed in this work. +Emotional appearance is not discussed in this work. -Multi-level emotion cognition and behavior generation was demonstrated in "Emotions in six thinking levels" and "Feeling the state and neuromodulation" sections. +Multi-level emotion cognition and behavior generation was demonstrated in "Emotions in six thinking levels" and "Feeling the state and neuromodulation" sections. -Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. +Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. -Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. +Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. -Conscious and non-conscious mechanisms of stimulus processing was presented. +Conscious and non-conscious mechanisms of stimulus processing was presented. Psychological and biochemical changes where presented in "Feeling the state and neuromodulation" and "Neuromodulation to computing system management mapping". @@ -274,7 +274,7 @@ Psychological and biochemical changes where presented in "Feeling the state and 1. Nursing software 1. Applications in emotional robots -#References +# References 1. Lövheim, H. (2012). A new three-dimensional model for emo- tions and monoamine neurotransmitters, @@ -282,6 +282,6 @@ tions and monoamine neurotransmitters, 1. Minsky, M. (2006). The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind 1. R.W. Picard (2001), "What Does it Mean for a Computer to "Have" Emotions?," Chapter in "Emotions in Humans and Artifacts," -#Thank you. +# Thank you. max.talanov@gmail.com diff --git a/cognitive_technologies_seminars/2015-04-09_ubique.md b/cognitive_technologies_seminars/2015-04-09_ubique.md index eab17e81..4fe1b667 100644 --- a/cognitive_technologies_seminars/2015-04-09_ubique.md +++ b/cognitive_technologies_seminars/2015-04-09_ubique.md @@ -10,7 +10,7 @@ Max Talanov, Jordi Vallverdu.  -###Example of processing with Metafor: +### Example of processing with Metafor: **(4) When a customer orders a drink, the bartender tries to make it. When the bartender is asked to make a drink, he makes it and gives it to the customer only if the drink is in the menu's drinks; otherwise, the bartender says "sorry i don't know how to make that drink" to the customer.** @@ -41,7 +41,7 @@ class customer: bartender.make(drink) ``` -###Video +### Video [...](http://web.media.mit.edu/~hugo/demos/metafor-bartender-simple.mov) @@ -52,34 +52,34 @@ class customer: 1. Not capable of thinking ... 1. Too many stupid rules. -##Machine cognition +## Machine cognition **Machine cognition (understanding) <- Machine consciousness <- Machine emotions (affective computations)** -##Method +## Method  -##Domains correlations +## Domains correlations  -##New domains +## New domains  -##Functional vs Holistic methods +## Functional vs Holistic methods -###Brodmann areas: +### Brodmann areas:  -###Ubique approach: +### Ubique approach:  **Imagine 1 neuron -> cortical column ~ 10 000 neurons -> Brodmann area (V1) 140 million -> Cortex 19 - 23 billions -> Whole brain 86 billions (10^14–10^15 Synapses)** -##Artificial living systems +# #Artificial living systems 1. Intellect is side effect of artificial living NN 1. Artificial living objects: @@ -101,7 +101,7 @@ class customer: 1. Nursing software 1. Applications in emotional robots -##References +## References 1. Lövheim, H. (2012). A new three-dimensional model for emo- tions and monoamine neurotransmitters, @@ -109,7 +109,7 @@ tions and monoamine neurotransmitters, 1. Minsky, M. (2006). The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind 1. R.W. Picard (2001), "What Does it Mean for a Computer to "Have" Emotions?," Chapter in "Emotions in Humans and Artifacts," -##Thank you. +## Thank you. max.talanov@gmail.com @@ -155,14 +155,14 @@ Above threshold: Connectivity diagram showing excitatory glutamatergic pathways as red, inhibitory GABAergic pathways as blue, and modulatory dopaminergic pathways as magenta. (Abbreviations: GPe: globus pallidus external; GPi: globus pallidus internal; STN: subthalamic nucleus; SNc: substantia nigra compacta; SNr: substantia nigra reticulata) -The antagonistic functions of the direct and indirect pathways are modulated by the **substantia nigra pars compacta (SNc)**, which produces **dopamine**. In the presence of dopamine, D1-receptors in the basal ganglia stimulate the GABAergic neurons, favoring the direct pathway, and thus increasing movement. The GABAergic neurons of the indirect pathway are stimulated by excitatory neurotransmitters acetylcholine and glutamate. This sets off the indirect pathway that ultimately results in inhibition of upper motor neurons, and less movement. In the presence of dopamine, D2-receptors in the basal ganglia inhibit these GABAergic neurons, which reduces the indirect pathways inhibitory effect. **Dopamine therefore increases the excitatory effect of the direct pathway (causing movement) and reduces the inhibitory effect of the indirect pathway (preventing full inhibition of movement)**. +The antagonistic functions of the direct and indirect pathways are modulated by the **substantia nigra pars compacta (SNc)**, which produces **dopamine**. In the presence of dopamine, D1-receptors in the basal ganglia stimulate the GABAergic neurons, favoring the direct pathway, and thus increasing movement. The GABAergic neurons of the indirect pathway are stimulated by excitatory neurotransmitters acetylcholine and glutamate. This sets off the indirect pathway that ultimately results in inhibition of upper motor neurons, and less movement. In the presence of dopamine, D2-receptors in the basal ganglia inhibit these GABAergic neurons, which reduces the indirect pathways inhibitory effect. **Dopamine therefore increases the excitatory effect of the direct pathway (causing movement) and reduces the inhibitory effect of the indirect pathway (preventing full inhibition of movement)**. This way we simulate: 1. Cortex 1. Striatum 1. GPe: globus pallidus external -1. GPi: globus pallidus internal +1. GPi: globus pallidus internal 1. STN: subthalamic nucleus 1. SNc: substantia nigra compacta 1. SNr: substantia nigra reticulata @@ -200,4 +200,3 @@ Neuromodulation is implemented by SNc via production of the **dopamine** that in **Dopamine neuromodulation:**  - diff --git a/cognitive_technologies_seminars/2015-07-20 p^3.md b/cognitive_technologies_seminars/2015-07-20 p^3.md index 433a8c70..d00558f2 100644 --- a/cognitive_technologies_seminars/2015-07-20 p^3.md +++ b/cognitive_technologies_seminars/2015-07-20 p^3.md @@ -1,4 +1,4 @@ -#Towards Anthropo-inspired Computational Systems: the P^3 Model +# Towards Anthropo-inspired Computational Systems: the P^3 Model Michael W. Bridges, Salvatore Distefano, Manuel Mazzara, Marat Minlebaev, Max Talanov, and Jordi Vallverdu. @@ -9,17 +9,17 @@ Michael W. Bridges, Salvatore Distefano, Manuel Mazzara, Marat Minlebaev, Max Ta 1. Emotional model built on base of P^3 approach 1. Validation -##Machine cognition +## Machine cognition **Machine cognition (understanding) <- Machine consciousness <- Machine emotions (affective computations)** -##P^3 model +## P^3 model -###The problem +### The problem  -###The model +### The model  @@ -84,21 +84,21 @@ mechanisms at lower MindComputing and PhysioComputing layers. **For example**: system is in fear state. Dopamine impacts system at half strength. This makes system choose actions highlighted with high rewards(safest in case of fear). High noradrenaline in rage state causes system to think as quick as possible taking in account as less as possible number of options, implementing first action(usually not really safe) selected "fight or flight" reaction. -##What are the neuromodulators? +## What are the neuromodulators? -###Neurotransmission +### Neurotransmission  -###Neuromodulation +### Neuromodulation  -1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. -2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). +1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. +2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). 3. *Nor-adrenaline* impacts attention, vigilance, activity. -### Lövheim cube of emotions +### Lövheim cube of emotions  @@ -127,14 +127,14 @@ Lövheim uses three dimensional model-cube and assumes that all emotional states Connectivity diagram showing excitatory glutamatergic pathways as red, inhibitory GABAergic pathways as blue, and modulatory dopaminergic pathways as magenta. (Abbreviations: GPe: globus pallidus external; GPi: globus pallidus internal; STN: subthalamic nucleus; SNc: substantia nigra compacta; SNr: substantia nigra reticulata) -The antagonistic functions of the direct and indirect pathways are modulated by the **substantia nigra pars compacta (SNc)**, which produces **dopamine**. In the presence of dopamine, D1-receptors in the basal ganglia stimulate the GABAergic neurons, favoring the direct pathway, and thus increasing movement. The GABAergic neurons of the indirect pathway are stimulated by excitatory neurotransmitters acetylcholine and glutamate. This sets off the indirect pathway that ultimately results in inhibition of upper motor neurons, and less movement. In the presence of dopamine, D2-receptors in the basal ganglia inhibit these GABAergic neurons, which reduces the indirect pathways inhibitory effect. **Dopamine therefore increases the excitatory effect of the direct pathway (causing movement) and reduces the inhibitory effect of the indirect pathway (preventing full inhibition of movement)**. +The antagonistic functions of the direct and indirect pathways are modulated by the **substantia nigra pars compacta (SNc)**, which produces **dopamine**. In the presence of dopamine, D1-receptors in the basal ganglia stimulate the GABAergic neurons, favoring the direct pathway, and thus increasing movement. The GABAergic neurons of the indirect pathway are stimulated by excitatory neurotransmitters acetylcholine and glutamate. This sets off the indirect pathway that ultimately results in inhibition of upper motor neurons, and less movement. In the presence of dopamine, D2-receptors in the basal ganglia inhibit these GABAergic neurons, which reduces the indirect pathways inhibitory effect. **Dopamine therefore increases the excitatory effect of the direct pathway (causing movement) and reduces the inhibitory effect of the indirect pathway (preventing full inhibition of movement)**. This way we simulate: 1. Cortex 1. Striatum 1. GPe: globus pallidus external -1. GPi: globus pallidus internal +1. GPi: globus pallidus internal 1. STN: subthalamic nucleus 1. SNc: substantia nigra compacta 1. SNr: substantia nigra reticulata @@ -174,7 +174,7 @@ Neuromodulation is implemented by SNc via production of the **dopamine** that in 1. Nursing software 1. Applications in emotional robots -#References +# References 1. Lövheim, H. (2012). A new three-dimensional model for emo- tions and monoamine neurotransmitters, @@ -182,6 +182,6 @@ tions and monoamine neurotransmitters, 1. Minsky, M. (2006). The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind 1. R.W. Picard (2001), "What Does it Mean for a Computer to "Have" Emotions?," Chapter in "Emotions in Humans and Artifacts," -#Thank you. +# Thank you. max.talanov@gmail.com diff --git a/cognitive_technologies_seminars/2015-11-08 BICA.md b/cognitive_technologies_seminars/2015-11-08 BICA.md index 2d9ce620..1bc7c8d6 100644 --- a/cognitive_technologies_seminars/2015-11-08 BICA.md +++ b/cognitive_technologies_seminars/2015-11-08 BICA.md @@ -58,19 +58,19 @@ class customer: 1. Not capable of thinking ... 1. Too many stupid rules. -##Machine cognition +## Machine cognition The main problem of even simple tasks that involves social collaborations is to **understand** what is the user problem. **Machine cognition (understanding) -> Machine consciousness -> Machine emotions (affective computations)** -###Cognition and consciousness and emotions. +### Cognition and consciousness and emotions.  ## Emotional computing system management -##Monoamines model +## Monoamines model **Noradrenaline** influences overall speed of thinking process, **dopamine** and **serotonin** - reward processing and learning. @@ -106,13 +106,13 @@ The main problem of even simple tasks that involves social collaborations is to **For example**: system is in fear state. Dopamine impacts system at half strength. This makes system choose actions highlighted with high rewards(safest in case of fear). High noradrenaline in rage state causes system to think as quick as possible taking in account as less as possible number of options, implementing first action(usually not really safe) selected "fight or flight" reaction. -###Neuromodulation +### Neuromodulation -1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. -2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). +1. *Serotonin* takes part in: behavioral state regulation and arousal, motor pattern generation, learning and plasticity, mood and social behavior also in self confidence, inner strength, satisfaction. +2. *Dopamine* plays a major role in motor activation, reward processing, reinforcement, motivation (wanting). 3. *Nor-adrenaline* impacts attention, vigilance, activity. -### Lövheim cube of emotions +### Lövheim cube of emotions  @@ -145,14 +145,14 @@ Lövheim uses three dimensional model-cube and assumes that all emotional states Connectivity diagram showing excitatory glutamatergic pathways as red, inhibitory GABAergic pathways as blue, and modulatory dopaminergic pathways as magenta. (Abbreviations: GPe: globus pallidus external; GPi: globus pallidus internal; STN: subthalamic nucleus; SNc: substantia nigra compacta; SNr: substantia nigra reticulata) -The antagonistic functions of the direct and indirect pathways are modulated by the **substantia nigra pars compacta (SNc)**, which produces **dopamine**. In the presence of dopamine, D1-receptors in the basal ganglia stimulate the GABAergic neurons, favoring the direct pathway, and thus increasing movement. The GABAergic neurons of the indirect pathway are stimulated by excitatory neurotransmitters acetylcholine and glutamate. This sets off the indirect pathway that ultimately results in inhibition of upper motor neurons, and less movement. In the presence of dopamine, D2-receptors in the basal ganglia inhibit these GABAergic neurons, which reduces the indirect pathways inhibitory effect. **Dopamine therefore increases the excitatory effect of the direct pathway (causing movement) and reduces the inhibitory effect of the indirect pathway (preventing full inhibition of movement)**. +The antagonistic functions of the direct and indirect pathways are modulated by the **substantia nigra pars compacta (SNc)**, which produces **dopamine**. In the presence of dopamine, D1-receptors in the basal ganglia stimulate the GABAergic neurons, favoring the direct pathway, and thus increasing movement. The GABAergic neurons of the indirect pathway are stimulated by excitatory neurotransmitters acetylcholine and glutamate. This sets off the indirect pathway that ultimately results in inhibition of upper motor neurons, and less movement. In the presence of dopamine, D2-receptors in the basal ganglia inhibit these GABAergic neurons, which reduces the indirect pathways inhibitory effect. **Dopamine therefore increases the excitatory effect of the direct pathway (causing movement) and reduces the inhibitory effect of the indirect pathway (preventing full inhibition of movement)**. This way we simulate: 1. Cortex 1. Striatum 1. GPe: globus pallidus external -1. GPi: globus pallidus internal +1. GPi: globus pallidus internal 1. STN: subthalamic nucleus 1. SNc: substantia nigra compacta 1. SNr: substantia nigra reticulata @@ -188,13 +188,13 @@ Rosalind Picard in her article "What does it mean for a computer to "have" emoti 1. Emotional experience 1. Mind-body interactions -Emotional appearance is not discussed in this work, but could be implemented via link of the simulated motor cortex with limbs. +Emotional appearance is not discussed in this work, but could be implemented via link of the simulated motor cortex with limbs. -Multi-level emotion cognition and behavior generation was not demonstrated. +Multi-level emotion cognition and behavior generation was not demonstrated. -Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. +Emotional experience is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions in this work. -Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this could be implemented by presented model. +Mind-body interactions consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this could be implemented by presented model. Psychological and biochemical changes were presented. @@ -211,7 +211,7 @@ Psychological and biochemical changes were presented. 1. Nursing software 1. Applications in emotional robots -#References +# References 1. Lövheim, H. (2012). A new three-dimensional model for emo- tions and monoamine neurotransmitters, @@ -219,6 +219,6 @@ tions and monoamine neurotransmitters, 1. Minsky, M. (2006). The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind 1. R.W. Picard (2001), "What Does it Mean for a Computer to "Have" Emotions?," Chapter in "Emotions in Humans and Artifacts," -#Thank you. +# Thank you. max.talanov@gmail.com diff --git a/cognitive_technologies_seminars/2016-08-25_BCU/2016-08-25_BCU.md b/cognitive_technologies_seminars/2016-08-25_BCU/2016-08-25_BCU.md index b821376c..8380ed5f 100644 --- a/cognitive_technologies_seminars/2016-08-25_BCU/2016-08-25_BCU.md +++ b/cognitive_technologies_seminars/2016-08-25_BCU/2016-08-25_BCU.md @@ -1,8 +1,8 @@ -#Projects +# Projects -Max Talanov +Max Talanov -##Plan +## Plan 1. NeuCogAr 1. Robot Dream @@ -10,19 +10,19 @@ Max Talanov 1. TU 1. ... -##NeuCogAr:Towards Biomimetic Emotional AI +## NeuCogAr:Towards Biomimetic Emotional AI Neuromodulating Cognitive Architecture -###Problem: How do we make machine feel an emotion? +### Problem: How do we make machine feel an emotion? -3 perspectives: +3 perspectives: 1. Philosophical 1. Psychological 1. Neurobiological -###Idea: Monoamines model +### Idea: Monoamines model **Noradrenaline** influences overall speed of thinking process, **dopamine** and **serotonin** - reward processing and learning. @@ -58,37 +58,37 @@ Neuromodulating Cognitive Architecture **For example**: system is in fear state. Dopamine impacts system at half strength. This makes system choose actions highlighted with high rewards(safest in case of fear). High noradrenaline in rage state causes system to think as quick as possible taking in account as less as possible number of options, implementing first action(usually not really safe) selected "fight or flight" reaction. -###Experiment +### Experiment -####Implementing "cube of emotions" +#### Implementing "cube of emotions"  -####Basal ganglia circuit +#### Basal ganglia circuit  -####Simplified nigrostriatal pathway +#### Simplified nigrostriatal pathway  -####Dopamine pathways diagram +#### Dopamine pathways diagram  -###Results +### Results  -###Serotonin and disgust +### Serotonin and disgust  -##Robot dream +## Robot dream -###Problem +### Problem -###Robot performance +### Robot performance - **AR-601**: Intel Core i7-4700EQ; 8 GB; @@ -101,7 +101,7 @@ Neuromodulating Cognitive Architecture  -###Required performance +### Required performance **RIKEN** 2013: 1% of human brain - 250 K-supercomputers (96 computing nodes, 2.0 GHz 8-core SPARC64; 16 GB of memory), slower than @@ -111,9 +111,9 @@ human brain in 1000 times.  -###Idea +### Idea -####Day and night +#### Day and night  @@ -130,35 +130,35 @@ human brain in 1000 times. emotional reactions and accumulating new experience to be processed again starting from **A**. -####Translations +#### Translations  -####Architecture +#### Architecture  -##BioDynaMo +## BioDynaMo * CERN -* Newcastle +* Newcastle * Intel * IU * KFU -###Growing brain framework +### Growing brain framework - Distributed - Parallel -- Spatio - neuronal +- Spatio - neuronal - Taking in account bio-chemical reactions -##TU +## TU -##GDP - modeling hippocampus +## GDP - modeling hippocampus -##QME - quantitative model of emotions +## QME - quantitative model of emotions ### Thank you diff --git a/cognitive_technologies_seminars/2016-12-01_DIT/2016-12-01_DIT.md b/cognitive_technologies_seminars/2016-12-01_DIT/2016-12-01_DIT.md index d5556e92..38a7a1cd 100644 --- a/cognitive_technologies_seminars/2016-12-01_DIT/2016-12-01_DIT.md +++ b/cognitive_technologies_seminars/2016-12-01_DIT/2016-12-01_DIT.md @@ -1,4 +1,4 @@ -#Affective computing +# Affective computing Max Talanov, ITIS, KFU (max.talanov@gmail.com) @@ -6,14 +6,14 @@ Max Talanov, ITIS, KFU (max.talanov@gmail.com) 1. [Emotional thinking from bird eye view](https://github.com/max-talanov/1/blob/master/affective%20computing/emotional_thinking.md) -#Projects +# Projects -##Plan +## Plan 1. NeuCogAr 1. Robot Dream -##NeuCogAr +## NeuCogAr Neuromodulating Cognitive Architecture @@ -21,15 +21,15 @@ Neuromodulating Cognitive Architecture **Machine cognition (understanding) <- Machine consciousness <- Machine emotions (affective computations)** -###Problem: How do we make machine feel an emotion? +### Problem: How do we make machine feel an emotion? -3 perspectives: +3 perspectives: 1. Philosophical 1. Psychological 1. Neurobiological -###Idea: Monoamines model +### Idea: Monoamines model **Noradrenaline** influences overall speed of thinking process, **dopamine** and **serotonin** - reward processing and learning. @@ -63,41 +63,41 @@ Neuromodulating Cognitive Architecture 1. System tends to choose *risky* actions under impact of noradrenaline. 1. Noradrenaline makes system use less *number of options* in width and depth to be processed during reasoning. -###Experiment +### Experiment -####Implementing "cube of emotions" +#### Implementing "cube of emotions"  -####Basal ganglia circuit +#### Basal ganglia circuit  -####Simplified nigrostriatal pathway +#### Simplified nigrostriatal pathway  -####Dopamine pathways diagram +#### Dopamine pathways diagram  -###Results +### Results  -###Serotonin and disgust +### Serotonin and disgust   -##Robot dream +## Robot dream The integration of a spiking neural network with real-time robotic system -###Problem +### Problem -###Robot performance +### Robot performance - **AR-601**: Intel Core i7-4700EQ; 8 GB; @@ -110,7 +110,7 @@ The integration of a spiking neural network with real-time robotic system  -###Required performance +### Required performance **RIKEN** 2013: 1% of human brain - 250 K-supercomputers (96 computing nodes, 2.0 GHz 8-core SPARC64; 16 GB of memory), slower than @@ -120,9 +120,9 @@ human brain in 1000 times.  -###Idea +### Idea -####Wake and dream +#### Wake and dream  @@ -139,23 +139,23 @@ human brain in 1000 times. emotional reactions and accumulating new experience to be processed again starting from **A**. -####Translations +#### Translations  -####Architecture +#### Architecture  -####Robotic system +#### Robotic system  -####Dreaming brain +#### Dreaming brain  -####Results +#### Results  @@ -163,9 +163,9 @@ human brain in 1000 times. Rosalind Picard in her article "What does it mean for a computer to "have" emotions?" (2001) suggested following criteria to measure emotional capabilities of a computing system: -1. **Emotional** appearance is not discussed in this work. +1. **Emotional** appearance is not discussed in this work. 1. **Multi-level emotion cognition and behavior generation** was demonstrated as complex dopamine pathway multi-subsystem processing of "fear-like" state. -1. **Emotional experience** is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions. +1. **Emotional experience** is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions. 1. **Mind-body interactions** consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. Psychological and biochemical changes where presented. diff --git a/cognitive_technologies_seminars/2016-12-19_huawei/2016-12-19_huawei.md b/cognitive_technologies_seminars/2016-12-19_huawei/2016-12-19_huawei.md index 09ac13d0..be404f7a 100644 --- a/cognitive_technologies_seminars/2016-12-19_huawei/2016-12-19_huawei.md +++ b/cognitive_technologies_seminars/2016-12-19_huawei/2016-12-19_huawei.md @@ -1,13 +1,13 @@ -#Affective computing projects +# Affective computing projects Max Talanov, ITIS, KFU (max.talanov@gmail.com) -##Plan +## Plan 1. NeuCogAr 1. Robot Dream -##NeuCogAr +## NeuCogAr Neuromodulating Cognitive Architecture @@ -15,15 +15,15 @@ Neuromodulating Cognitive Architecture **Machine cognition (understanding) <- Machine consciousness <- Machine emotions (affective computations)** -###Problem: How do we make machine feel an emotion? +### Problem: How do we make machine feel an emotion? -3 perspectives: +3 perspectives: 1. Philosophical 1. Psychological 1. Neurobiological -###Idea: Monoamines model +### Idea: Monoamines model **Noradrenaline** influences overall speed of thinking process, **dopamine** and **serotonin** - reward processing and learning. @@ -57,41 +57,41 @@ Neuromodulating Cognitive Architecture 1. System tends to choose *risky* actions under impact of noradrenaline. 1. Noradrenaline makes system use less *number of options* in width and depth to be processed during reasoning. -###Experiment +### Experiment -####Implementing "cube of emotions" +#### Implementing "cube of emotions"  -####Basal ganglia circuit +#### Basal ganglia circuit  -####Simplified nigrostriatal pathway +#### Simplified nigrostriatal pathway  -####Dopamine pathways diagram +#### Dopamine pathways diagram  -###Results +### Results  -###Serotonin and disgust +### Serotonin and disgust   -##Robot dream +## Robot dream The integration of a spiking neural network with real-time robotic system -###Problem +### Problem -###Robot performance +### Robot performance - **AR-601**: Intel Core i7-4700EQ; 8 GB; @@ -104,7 +104,7 @@ The integration of a spiking neural network with real-time robotic system  -###Required performance +### Required performance **RIKEN** 2013: 1% of human brain - 250 K-supercomputers (96 computing nodes, 2.0 GHz 8-core SPARC64; 16 GB of memory), slower than @@ -114,9 +114,9 @@ human brain in 1000 times.  -###Idea +### Idea -####Wake and dream +#### Wake and dream  @@ -133,23 +133,23 @@ human brain in 1000 times. emotional reactions and accumulating new experience to be processed again starting from **A**. -####Translations +#### Translations  -####Architecture +#### Architecture  -####Robotic system +#### Robotic system  -####Dreaming brain +#### Dreaming brain  -####Preliminary results +#### Preliminary results  @@ -157,9 +157,9 @@ human brain in 1000 times. Rosalind Picard in her article "What does it mean for a computer to "have" emotions?" (2001) suggested following criteria to measure emotional capabilities of a computing system: -1. **Emotional** appearance is not discussed in this work. +1. **Emotional** appearance is not discussed in this work. 1. **Multi-level emotion cognition and behavior generation** was demonstrated as complex dopamine pathway multi-subsystem processing of "fear-like" state. -1. **Emotional experience** is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions. +1. **Emotional experience** is complex that consists of: "cognitive or semantic label; physiological changes; subjective feeling, intuition" we have scratch the surface and suggested psychological changes mechanism according to Lövheim model and subjective emotions perceptions. 1. **Mind-body interactions** consists of: "conscious and non-conscious events; regulatory and signaling mechanisms; biasing mechanisms, intuition; physiological and biochemical changes; sentic modulation, lying impacts pressure; waveform of love; smiles induce joy..." this partly could be implemented by presented model. Psychological and biochemical changes where presented. ### Thank you diff --git a/software_design_course/lab3-requirements.md b/software_design_course/lab3-requirements.md index d1d595d9..ce07834d 100644 --- a/software_design_course/lab3-requirements.md +++ b/software_design_course/lab3-requirements.md @@ -1,6 +1,6 @@ # Requirements: Agile Scrum -##Vision +## Vision 1. Introduction 1. Business Needs/Requirements @@ -12,7 +12,7 @@ ## User stories 1. ID -1. User story name +1. User story name 1. Input 1. Output 1. Entry criteria diff --git a/software_design_course/uml.md b/software_design_course/uml.md index 34569218..ba85a5ab 100644 --- a/software_design_course/uml.md +++ b/software_design_course/uml.md @@ -1,4 +1,4 @@ -#UML +# UML [Wiki](http://en.wikipedia.org/wiki/Unified_Modeling_Language) @@ -51,7 +51,7 @@ Behavior diagrams emphasize what must happen in the system being modeled. Since  -##Interaction diagrams +## Interaction diagrams Interaction diagrams, a subset of behavior diagrams, emphasize the flow of control and data among the things in the system being modeled: * [Communication diagram](https://en.wikipedia.org/wiki/Communication_diagram): shows the interactions between objects or parts in terms of sequenced messages. They represent a combination of information taken from Class, Sequence, and [[Use Case Diagram]]s describing both the static structure and dynamic behavior of a system. @@ -63,4 +63,3 @@ Interaction diagrams, a subset of behavior diagrams, emphasize the flow of contr  * [Timing diagram](https://en.wikipedia.org/wiki/Timing_diagram_(Unified_Modeling_Language)): a specific type of interaction diagram where the focus is on timing constraints. -