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Passing a Hide and Seek Turing Test

  • Author / Creator
    Cenkner, Andrew P
  • 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.

  • Subjects / Keywords
  • Graduation date
    2012-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R34T0C
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • Vadim Bulitko (Computing Science)
  • Examining committee members and their departments
    • Scott Smallwood (Music)
    • Greg Kondrak (Computing Science)
    • Vadim Bulitko (Computing Science)