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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/14773

Title: Developing Pokemon AI For Finding Comfortable Settings
Authors: Panumate, Chetprayoon
Iida, Hiroyuki
Keywords: Pokemon
Pokemon AI
Game refinement theory
Settings of video games
Issue Date: 2016-08-06
Publisher: Digital Games Research Association JAPAN
Magazine name: Proceedings of 2016 Summer Conference, Digital Games Research Association JAPAN
Start page: 168
End page: 171
Abstract: 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 changed after the first episode of Pokemon was released in 1996. Pokemon battle is simulated and various AIs are developed for the experiments. The results show that the original setting is the best for many players of various levels.
Rights: This material is posted here with permission of Digital Games Research Association JAPAN. Chetprayoon Panumate and Hiroyuki Iida, Proceedings of 2016 Summer Conference, Digital Games Research Association JAPAN, 2016, 168-171.
URI: http://hdl.handle.net/10119/14773
Material Type: publisher
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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