- Passing a Hide and Seek Turing Test
- Cenkner, Andrew P
- Jan 5, 2012 3:28 PM
- Adobe PDF
- 2308525 bytes
- 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.
- 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
- Master of Science
- Department of Computing Science
- Spring 2012
- Vadim Bulitko (Computing Science)
Vadim Bulitko (Computing Science)
Greg Kondrak (Computing Science)
Scott Smallwood (Music)
Theses and Dissertations Spring 2009 to present
Department of Computing Science
May 2, 2014 11:41 AM
Jan 5, 2012 3:28 PM
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