Here are my notes for an AI course held by NTU on Coursera.
course link: https://www.coursera.org/learn/rengong-zhineng/home/info
- Week 1: Introduction & Intelligent agents
- Acting Humanly, Thinking Humanly, Thinking Rationally, Acting Rationally
- Agents and Evironments, PEAS
- Week 2: Uninformed search
- BFS, Uniform-Cost Search, DFS, DLS, IDS, Bidirectional Search
- Week 3: Informed search
- Best-First Search (Greedy Search, A* Search)
- Memory Bounded Search (Iterative Deepening A*, RBFS, Simplified Memory-bounded A*)
- Heuristic (Performance, Generating Heuristics)
- Week 4: Non-classic search
- Black-Box Optimization
- Steepest Descent, Simulated Annealing, Evolutionary Computation
- Non-deterministic Actions (AND-OR Search)
- Partial Observations (sensor-less, with sensors, unknownenvironments)
- Week 5: Adversarial search
- Week 6: Propositional Logic
- Logical Agent
- Propositional Logic
- Inference
- Resolution and CNF
- Forward Chaining
- Backward Chaining
- Week 7: First Order Logic
- Week 8: Planning