Artificial Intelligence
A map of AI concepts, intelligent agents, and machine learning notes.
Class Notes
Intelligent Agents
- Fundamentals of Intelligent Agents Architecture, Environments, and Taxonomy — Agent equation, PEAS framework, rationality, autonomy
- Artificial Intelligence Searching and Planning for Problem-Solving Agents — Search algorithms, problem-solving agents
- Artificial Intelligence Local Search, Adversarial Planning, and Knowledge Representation — Local search, adversarial games, knowledge representation
Broader AI Topics
- Comprehensive Briefing Fundamentals and Applications of Artificial Intelligence — AI overview and applications
- Computer Graphics — Rendering, transformations, graphics pipeline
- Computer Graphics and Hardware Systems — Graphics hardware, GPU architecture
Mobile & Distributed
- Fundamentals and Applications of Mobile Computing — Mobile architectures, wireless fundamentals
- Wireless Communication and Mobile Computing — Wireless protocols, mobile networks
References
- Agentic AI (m1w1l1) — Agentic AI certification notes: workflows, single agents, multi-agent systems, OODA loop
Concepts
Agent Types (from class notes)
| Agent Type | Key Characteristic |
|---|---|
| Simple Reflex | Condition-action rules, current percept only |
| Model-Based Reflex | Internal state tracking |
| Goal-Based | Goal information, planning |
| Utility-Based | Utility function for best action |
| Learning | Adapts through experience |
AI Domains
- Search & Planning — Graph Theory (BFS, DFS, A*), state-space exploration
- Knowledge Representation — Logic, ontologies, semantic networks
- Machine Learning — Machine Learning, supervised/unsupervised/reinforcement
- AI Evaluation — AI Trainer Study Notes — hallucinations, accuracy, completeness, safety
- Agentic AI — Agentic AI (m1w1l1) — Workflows → single agents → multi-agent systems
- RAG Pipeline — Embeddings → Indexing → Retrieval → Generation — retrieval-augmented generation from vector representations to grounded output
Related
- ML — Full map of ML, AI, and RAG notes
- DSA MOC — Graph algorithms power AI search
- Projects MOC — AI project implementations