State spaces (Chapters 1-3)

• states, start states, and goal states
• search techniques (blind and informed)
• rules and generation of successor states
• heuristics for informed searching
• games

Deduction (Chapters 5-6, Sections 13.1-13.2)

• relation to state spaces
• knowledge representation using predicate logic
• planning--examples from the blocks world
• resolution
• logic programming
• question answering
• explanation
• heuristics

Uncertain Information (highlights of Chapters 7-8)

• probabilistic information
• time-dependent information
• nonmonotonicity (briefly)
• truth maintenance

Knowledge Representation (Chapters 4,9,10,11)

• procedural v. declarative v. distributed
• alternatives to predicate calculus
• schemata, frames, scripts, slots/fillers, attributes/values
• networks
• the frame problem
• heuristics (e.g., indexing)
• distributed representation

Other topics (highlights of Chapters 15,17,18)

• machine learning
• natural language processing
• neural networks
• genetic algorithms