AI pertaining to Game Design: navigation and motion, game theory, neural networks, genetic algorithms, finite state machines, intelligent agents/Non Player Characters (flocking, crowd scenes, path finding, collision detection, trust, expressivity/personality design, adaptivity, etc.)

1. A practical assignment (50%) (Learning outcomes 1 and 2)
2. An examination (50%) (Learning outcomes 3 and 4)

Rabin (ed.) AI Game Programming Wisdom, Charles River Media (2002), ISBN: 1584500778
Russell & Norvig. AI: A Modern Approach. 2nd. Ed. Prentice Hall. 2002, ISBN: 0130803022
Wooldridge. Introduction to Multiagent Systems. John Wiley. 2002, ISBN: B0000EZNZS

Prior study of CE00207-M Artificial Intelligent Systems.

A personal computer, a programming environment, a 3D modelling application, a game AI engine.

The module shall be delivered through lectures and tutorial sessions. Lectures shall provide the theoretical foundation of the area under study whilst tutorials will be used to develop practical skills relating to lectures. The assignment will allow students to develop a deeper awareness of the issues surrounding development of practical AI game implementations and mark the commencement of a student's portfolio of work. Students will be expected to pursue their own interests within Game AI by reading relevant literature and staying aware of current issues through the use of journals and web-sites, etc.
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