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Last updated: Monday, November 8, 2010 11:04:22 PM SGT . Updated final exam 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 <> Friday, July 2, 2010 05:39:14 PM SGT | Version: 1.0 | Last modified: Mon Nov 8 23:04:37 2010