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Artificial Intelligence I

Lecturer: Dr S.B. Holden

No. of lectures: 12

Prerequisite courses: Data Structures and Algorithms, Continuous Mathematics, Discrete Mathematics or Mathematics for Computation Theory

This course is a prerequisite for Artificial Intelligence II (Part II).


Aims


The aim of this course is to provide an introduction to some basic issues and algorithms in artificial intelligence (AI). The coverage concentrates on presenting the general background to the field from a computer science perspective--relatively little reference is made to the complementary perspectives developed within psychology, neuroscience or elsewhere--and on some classical techniques from AI. The course aims to provide some basic tools and algorithms required to produce AI systems able to exhibit limited human-like abilities, particularly in the form of problem solving by search, representing and reasoning with knowledge, planning, and learning.


Lectures

Objectives


At the end of the course students should

Recommended books


* Russell, S. & Norvig, P. (2003). Artificial intelligence: a modern approach. Prentice-Hall (2nd ed.).
Luger, G. F. & Stubblefield, W.A. (1998). Artificial intelligence: structures and strategies for complex problem solving. Addison-Wesley.
Dean, T., Allen, J. & Aloimonos, Y. (1995). Artificial intelligence: theory and practice. Benjamin/Cummings.



next up previous contents
Next: Business Studies Up: Easter Term 2004: Part Previous: Easter Term 2004: Part   Contents
Christine Northeast
Thu Sep 4 15:29:01 BST 2003