Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Security Science
RAS ID
10102
Abstract
Interesting, human-like opponents add to the entertainment value of a video game, and creating such opponents is a difficult challenge for programmers. Can artificial intelligence and computational intelligence provide the means to convincingly simulate a human opponent? Or are simple programming tricks and deceptions more effective? To answer these questions, the author designed and organised a game bot programming competition, the BotPrize, in which competitors submit bots that try to pass a “Turing Test for Bots”. In this paper, we describe a new design for the competition, which will make it simpler to run, and, we hope, open up new opportunities for innovative use of the testing platform. We illustrate the potential of the new platform by describing an implementation of a bot that is designed to learn how to appear more human using feedback obtained during play.
DOI
10.1109/ITW.2010.5593336
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Hingston, P. F. (2010). A New Design for a Turing Test for Bots. Proceedings of 2010 IEEE Conference on Computational Intelligence and Games (CIG'10). (pp. 345-350). . IT University Copenhagen, Denmark. IEEE. Available here
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