Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

School of Computer and Information Science

RAS ID

5269

Comments

This article was originally published as: Hingston, P. F., & Masek, M. (2007). Experiments with Monte Carlo Othello. Proceedings of IEEE Congress on Evolutionary Computation. (pp. 4059-4064). Singapore. IEEE. Original article available here

© 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

In this paper, we report on our experiments with using Monte Carlo simulation (specifically the UCT algorithm) as the basis for an Othello playing program. Monte Carlo methods have been used for other games in the past, most recently and notably in successful Go playing programs. We show that Monte Carlo-based players have potential for Othello, and that evolutionary algorithms can be used to improve their strength.

DOI

10.1109/CEC.2007.4425000

Access Rights

free_to_read

 
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Link to publisher version (DOI)

10.1109/CEC.2007.4425000