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  • http://hdl.handle.net/10402/era.24962
  • Passing a Hide and Seek Turing Test
  • Cenkner, Andrew P
  • English
  • Turing
    Hide
    Seek
  • Jan 5, 2012 3:28 PM
  • Thesis
  • English
  • 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's
  • Master of Science
  • Department of Computing Science
  • Spring 2012
  • Vadim Bulitko (Computing Science)
  • Vadim Bulitko (Computing Science)
    Greg Kondrak (Computing Science)
    Scott Smallwood (Music)