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Passing a Hide and Seek Turing Test Open Access

Descriptions

Other title
Subject/Keyword
Seek
Turing
Hide
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Cenkner, Andrew P
Supervisor and department
Vadim Bulitko (Computing Science)
Examining committee member and department
Vadim Bulitko (Computing Science)
Greg Kondrak (Computing Science)
Scott Smallwood (Music)
Department
Department of Computing Science
Specialization

Date accepted
2012-01-05T15:28:34Z
Graduation date
2012-06
Degree
Master of Science
Degree level
Master's
Abstract
Hiding and seeking are cognitive abilities frequently demonstrated by humans in both real life and video games. To test to which extent this ability can be replicated by Artificial Intelligence, we introduce a specialized version of the Turing test for hiding and seeking. We then develop an agent that passes the test by appearing indistinguishable from human behavior to a panel of human judges. We analyze the artificial intelligence techniques that enable the agent to capture human hide and seek behavior and their relative contribution to the agent’s performance.
Language
English
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Andrew Cenkner, Vadim Bulitko, and Marcia L. Spetch. A generative computational model for human hide and seek behavior. In Proceedings of the Seventh Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2011), pages 128–133, Stanford, Palo Alto, California, 2011. AAAI Press. Full text at http://www.aaai.org/ocs/index.php/AIIDE/AIIDE11/paper/view/4084/4424

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