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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/12996

Title: Estimation of player's preference for cooperative RPGs using multi-strategy Monte-Carlo method
Authors: Sato, Naoyuki
Ikeda, Kokolo
Wada, Takayuki
Keywords: Utility
Role Playing Game (RPG)
User's preference
Monte-Carlo Search
Entertaining Computer Player
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2015 IEEE Conference on Computational Intelligence and Games (CIG)
Start page: 51
End page: 59
DOI: 10.1109/CIG.2015.7317935
Abstract: In many video games such as role playing games(RPGs) or sports games, computer players act not only as the opponents of the human player but also as team-mates. But computer players as team-mates often behave in a way that human players do not expect, and such mismatches cause bigger dissatisfaction than in the case of computer players as opponents. One of the reasons for such mismatches is that there are several types of sub-goals or play-styles in these games and the Ai players act without understanding the human player’s preference about them. The purpose of this study is to propose a method for developing computer team-mate players that estimate the sub-goal preferences of the team-mate human player and act according to these preferences. For this purpose, we modeled the preferences of sub-goals as a function and decided the most likely parameters by a multistrategy Monte-Carlo method, by referring to the past actions selected by the team-mate human player. Additionally, we evaluated the proposed method through two series of experiments, one by using artificial players with various sub-goal preferences and another one by using human players. The experiments showed that the proposed method can estimate their preferences after a few games, and can decrease the dissatisfaction of human players.
Rights: This is the author's version of the work. Copyright (C) 2015 IEEE. 2015 IEEE Conference on Computational Intelligence and Games (CIG), 2015, 51-59. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/12996
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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