next up previous contents
Next: Computer Systems Modelling Up: Michaelmas Term 2003: Part Previous: Advanced Graphics   Contents


Artificial Intelligence II

Lecturer: Dr S.B. Holden

No. of lectures and examples classes: 12 + 4

Prerequisite courses: Artificial Intelligence I, Logic and Proof, Continuous Mathematics, Discrete Mathematics, Probability


Aims


The aim of this course is to give an introduction to the general field of artificial intelligence (AI). The course approaches AI primarily from an algorithmic, computer science-centric perspective; relatively little reference is made to the complementary perspectives developed within psychology, neuroscience or elsewhere. The course aims to provide the 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, dealing with uncertainty, and learning.


Lectures

Objectives


At the end of this 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: Computer Systems Modelling Up: Michaelmas Term 2003: Part Previous: Advanced Graphics   Contents
Christine Northeast
Thu Sep 4 15:29:01 BST 2003