Developing Pokemon AI For Finding Comfortable Settings

Conference object English OPEN
Panumate, Chetprayoon; Iida, Hiroyuki;
(2016)
  • Publisher: Digital Games Research Association JAPAN
  • Journal: Proceedings of 2016 Summer Conference, Digital Games Research Association JAPAN168-171
  • Subject: Pokemon | Pokemon AI | Game refinement theory | Entertainment | Settings of video games

This paper explores an innovative way to find a comfortable setting of video games. Pokemon is chosen as benchmark and game refinement measure is employed for the assessment. The number of Pokemon that one trainer can carry (i.e., setting with n=6) has never been change... View more
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