4TH YEAR STUDIES IN COMPUTER SCIENCE

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Ryan Archer
archer01@student.uwa.edu.au

Entry year: 2007
Enrolment status: checked and confirmed
Degree: BSc/BE
Degree status: complete semester 2, 2007

Project: Analysis of Monte Carlo Techniques in Othello
Supervisor(s): Luigi Barone
Project status: complete semester 2, 2007


Gaming AI is a field that has become very popular recently, with milestones such as beating the chess grandmaster gaining considerable public interest. Some AI techniques have been very successful for some games but not so much for other types. A Monte Carlo approach uses many random game simulations to help choose moves that have a higher chance of winning. This technique is relatively new but is gaining popularity, partly due to a successful implementation used in the game Go. This project will test a Monte Carlo algorithm across a variety of different types of games and compare it with other methods of game AI.

Proposal
Dissertation 		Last update: Mon Feb 18 11:21:53 2008
For further enquiries, please contact the 4th Year Coordinator, Luigi Barone.
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School of Computer Science & Software Engineering
The University of Western Australia
CRICOS Provider Code: 00126G
Last modified: Mon Feb 18 11:24:29 2008