Deploy from jjohare/logseq @ d02a544ca753c461673ce97d46819574747ab1b0 jjohare/logseq@d02a544

Author: jjohare

api/markdown/RB-1017-rrt-algorithm.md

@@ -34,8 +34,8 @@
 - #### Relationships
   id:: rb-1017-relationships
   - is-subclass-of:: [[RB-1016-path-planning]]
-  - alternative-to:: [[RB-1018-dijkstra-algorithm]], [[A* Algorithm]]
-  - variant-of:: [[RRT*]], [[RRT-Connect]], [[Informed RRT*]]
+  - alternative-to:: [[RB-1018-dijkstra-algorithm]], [[A-Star Algorithm]]
+  - variant-of:: [[RRT-Star]], [[RRT-Connect]], [[Informed RRT-Star]]
   - uses:: [[Nearest Neighbor Search]], [[Collision Detection]]
   - applied-in:: [[Mobile Robots]], [[Manipulators]], [[Autonomous Vehicles]]
 

api/markdown/RB-1018-dijkstra-algorithm.md

@@ -34,8 +34,8 @@
 - #### Relationships
   id:: rb-1018-relationships
   - is-subclass-of:: [[RB-1016-path-planning]], [[Graph Search]]
-  - alternative-to:: [[RB-1017-rrt-algorithm]], [[A* Algorithm]]
-  - generalized-by:: [[A* Algorithm]] (with heuristic)
+  - alternative-to:: [[RB-1017-rrt-algorithm]], [[A-Star Algorithm]]
+  - generalized-by:: [[A-Star Algorithm]] (with heuristic)
   - special-case-of:: [[Bellman-Ford Algorithm]] (simpler, faster)
   - uses:: [[Priority Queue]], [[Graph Representation]]
   - applied-in:: [[Navigation]], [[Network Routing]], [[GPS Systems]]

api/pages/pages/A-Star Algorithm.json

@@ -2,15 +2,18 @@
   "id": "A-Star Algorithm",
   "title": "A-Star Algorithm",
   "content": "- ### OntologyBlock\n  - ontology:: true\n  - public-access:: true\n  - term-id:: AI-1004\n  - preferred-term:: A-Star Algorithm\n  - source-domain:: ai\n  - status:: draft\n  - owl:class:: ai:AStarAlgorithm\n\n### Relationships\n- is-subclass-of:: [[Search Algorithms]]\n- is-subclass-of:: [[Heuristic Methods]]\n- skos:related:: [[Dijkstra's Algorithm]]\n- skos:related:: [[Graph Theory]]\n- uses:: [[Priority Queue]]\n- enables:: [[Pathfinding]]\n- enables:: [[Route Planning]]\n\n### Definition\nA* (A-star) is a best-first search algorithm that finds the optimal path between nodes in a graph by combining actual cost from the start node (g-score) with an estimated cost to the goal (h-score heuristic). It uses the evaluation function f(n) = g(n) + h(n) to prioritize which paths to explore, guaranteeing optimality when using an admissible heuristic.\n\n### Algorithm Components\n- **g(n)**: Actual cost from start to node n\n- **h(n)**: Heuristic estimated cost from n to goal\n- **f(n)**: Total estimated cost (g(n) + h(n))\n- Open set: Nodes to be evaluated\n- Closed set: Already evaluated nodes\n\n### Properties\n- Complete (always finds a solution if one exists)\n- Optimal (finds lowest-cost path with admissible heuristic)\n- Optimally efficient (expands minimal nodes)\n- Time/space complexity: O(b^d) worst case\n\n### Common Heuristics\n- Manhattan distance (grid-based)\n- Euclidean distance\n- Diagonal distance\n- Custom domain-specific heuristics\n\n### Applications\n- Video game pathfinding\n- GPS navigation systems\n- Robotics motion planning\n- Network routing\n- Puzzle solving",
-  "backlinks": [],
+  "backlinks": [
+    "RB-1017-rrt-algorithm",
+    "RB-1018-dijkstra-algorithm"
+  ],
   "wiki_links": [
-    "Priority Queue",
-    "Route Planning",
+    "Graph Theory",
     "Pathfinding",
-    "Heuristic Methods",
+    "Route Planning",
     "Search Algorithms",
+    "Priority Queue",
     "Dijkstra's Algorithm",
-    "Graph Theory"
+    "Heuristic Methods"
   ],
   "ontology": {
     "term_id": "AI-1004",

api/pages/pages/AI Applications.json

@@ -4,12 +4,12 @@
   "content": "- ### OntologyBlock\n  id:: ai-applications-ontology\n  collapsed:: true\n\t- ontology:: true\n\t- term-id:: AI-0604\n\t- preferred-term:: AI Applications\n\t- source-domain:: ai\n\t- status:: active\n\t- public-access:: true\n\t- definition:: AI Applications represent domain-specific implementations of artificial intelligence technologies across various industries and use cases. This category encompasses practical deployments of AI in healthcare, autonomous vehicles, personal assistants, industrial automation, financial services, and other sectors where AI delivers tangible value.\n\t- owl:class:: ai:AIApplications\n\t- belongsToDomain:: [[Artificial Intelligence]]\n\t- #### Relationships\n\t  id:: ai-applications-relationships\n\t  collapsed:: true\n\t\t- is-subclass-of:: [[Artificial Intelligence]]\n\t\t- is-parent-of:: [[Medical AI]]\n\t\t- is-parent-of:: [[Autonomous Vehicles]]\n\t\t- is-parent-of:: [[AI Assistant]]\n\t\t- is-parent-of:: [[Industrial AI]]\n\t\t- related-to:: [[AI Deployment]]",
   "backlinks": [],
   "wiki_links": [
-    "AI Assistant",
+    "Medical AI",
     "Artificial Intelligence",
     "Autonomous Vehicles",
-    "Industrial AI",
+    "AI Assistant",
     "AI Deployment",
-    "Medical AI"
+    "Industrial AI"
   ],
   "ontology": {
     "term_id": "AI-0604",

api/pages/pages/AI Infrastructure.json

@@ -4,11 +4,11 @@
   "content": "- ### OntologyBlock\n  id:: ai-infrastructure-ontology\n  collapsed:: true\n\t- ontology:: true\n\t- term-id:: AI-0603\n\t- preferred-term:: AI Infrastructure\n\t- source-domain:: ai\n\t- status:: active\n\t- public-access:: true\n\t- definition:: AI Infrastructure refers to the hardware, software, and systems required to develop, train, deploy, and operate artificial intelligence applications. This includes GPU computing clusters, cloud AI services, edge computing devices, machine learning platforms, and the supporting toolchains for model development and deployment.\n\t- owl:class:: ai:AIInfrastructure\n\t- belongsToDomain:: [[Artificial Intelligence]]\n\t- #### Relationships\n\t  id:: ai-infrastructure-relationships\n\t  collapsed:: true\n\t\t- is-subclass-of:: [[Artificial Intelligence]]\n\t\t- is-parent-of:: [[GPU Computing]]\n\t\t- is-parent-of:: [[Cloud AI]]\n\t\t- is-parent-of:: [[Edge AI]]\n\t\t- related-to:: [[AI Deployment]]",
   "backlinks": [],
   "wiki_links": [
-    "GPU Computing",
+    "Edge AI",
     "Artificial Intelligence",
+    "GPU Computing",
     "AI Deployment",
-    "Cloud AI",
-    "Edge AI"
+    "Cloud AI"
   ],
   "ontology": {
     "term_id": "AI-0603",

api/pages/pages/AI Safety.json

@@ -11,11 +11,11 @@
     "AI Risks"
   ],
   "wiki_links": [
+    "Artificial Intelligence",
     "AI Alignment",
     "AI Governance",
-    "Adversarial Robustness",
-    "Artificial Intelligence",
     "Interpretability",
+    "Adversarial Robustness",
     "Value Alignment"
   ],
   "ontology": {

api/pages/pages/Accessibility Standards.json

@@ -6,12 +6,12 @@
     "Accessibility Audit Tool"
   ],
   "wiki_links": [
-    "metaverse",
-    "Universal Design",
-    "Design Standards",
     "Assistive Technology Integration",
-    "Multi-Modal Interfaces",
-    "Inclusive Virtual Experiences"
+    "Design Standards",
+    "Universal Design",
+    "Inclusive Virtual Experiences",
+    "metaverse",
+    "Multi-Modal Interfaces"
   ],
   "ontology": {
     "term_id": "MV-9757",

api/pages/pages/Account Abstraction.json

@@ -7,11 +7,11 @@
     "Decentralised Web"
   ],
   "wiki_links": [
-    "BlockchainDomain",
-    "ERC-4337",
     "Blockchain",
+    "BlockchainDomain",
+    "Ethereum",
     "Ethereum Standard",
-    "Ethereum"
+    "ERC-4337"
   ],
   "ontology": {
     "term_id": "BC-9005",

api/pages/pages/Active Learning.json

@@ -7,12 +7,12 @@
     "Data Annotation"
   ],
   "wiki_links": [
+    "Data-Efficient Learning",
+    "Uncertainty Sampling",
     "Online Learning",
-    "Machine Learning",
     "Human-in-the-Loop",
+    "Machine Learning",
     "Labeling Cost",
-    "Uncertainty Sampling",
-    "Data-Efficient Learning",
     "Semi-Supervised Learning"
   ],
   "ontology": {

api/pages/pages/Adaptive Virtual Experience.json

@@ -6,14 +6,14 @@
     "Biosensing Interface"
   ],
   "wiki_links": [
+    "User Behavior Tracking",
     "Real-Time Analytics",
-    "Virtual Reality Experience",
+    "Dynamic Gaming",
     "Personalized Learning",
-    "User Behavior Tracking",
     "Therapeutic VR",
-    "metaverse",
     "Machine Learning",
-    "Dynamic Gaming"
+    "metaverse",
+    "Virtual Reality Experience"
   ],
   "ontology": {
     "term_id": "MV-9758",