Course Syllabus for CS 343:
Chapter numbers refer to the text:
Artificial Intelligence: A Modern Approach (3rd ed) by
Stuart Russell and
Chapters 1-2. Definition and history of AI
- Problem Solving
Chapters 3, 4 (section 4.1), 5.
Uninformed search, informed (heuristic) search, game playing.
- Knowledge and Reasoning
Chapters 7-9, 12 (sections
12.5 and 12.6). Representing knowledge, propositional logic, first-order
predicate logic, automated deduction: forward chaining, backward chaining, and
resolution, frames, inheritance, and non-monotonic inference.
Chapter 10 (except section 10.3)
Representing actions, situation calculus, classical planning algorithms.
- Uncertain Reasoning
Chapters 13, 14 (except
sections 14.5 and 14.7). Probability theory, Naive Bayes, Bayesian networks:
representation and inference.
Chapter 18 (sections 18.1-18.4, 18.7) .
Inductive learning for classification, decision-tree induction,
neural-networks: representation and training.
- Natural Language Processing
Chapter 23 (sections
23.1-23.3). Syntactic, semantic, and pragmatics analysis. Resolving
- Philosophy and Conclusions
Chapters 26, 27. Arguments
against the possiblity of AI.