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Last updated: Mon Aug 20 17:39:16 GMT-8 2007 add TA and update tutorial information

Module Description (excerpted from the bulletin): The module introduces the basic concepts in search and knowledge representation as well as to a number of sub-areas of artificial intelligence. It focuses on covering the essential concepts in AI. The module covers Turing test, blind search, iterative deepening, production systems, heuristic search, A* algorithm, minimax and alpha-beta procedures, predicate and first-order logic, resolution refutation, non-monotonic reasoning, assumption-based truth maintenance systems, inheritance hierarchies, the frame problem, certainly factors, Bayes' rule, frames and semantic nets, planning, learning, natural language, vision, and expert systems and LISP.

Course Characteristics:

Note to NUS-external visitors: Welcome! If you're a fellow A.I. course instructor looking for lecture material, you can see the syllabus menu item on the left for a preview. Please contact me if you'd like to use any of my material. Thanks!

Min-Yen Kan <> Mon Dec 6 10:01:55 GMT-8 2004 | Version: 1.0 | Last modified: Wed Sep 26 09:46:12 2007