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Using Partial Tablebases in Breakthrough Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Werewolf Game Modeling Using Action Probabilities Based on Play Log Analysis

Authors : Yuya Hirata, Michimasa Inaba, Kenichi Takahashi, Fujio Toriumi, Hirotaka Osawa, Daisuke Katagami, Kousuke Shinoda

Published in: Computers and Games

Publisher: Springer International Publishing

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Abstract

In this study, we construct a non-human agent that can play the werewolf game (i.e., AI wolf) with aims of creating more advanced intelligence and acquire more advanced communication skills for AI-based systems. We therefore constructed a behavioral model using information regarding human players and the decisions made by such players; all such information was obtained from play logs of the werewolf game. To confirm our model, we conducted simulation experiments of the werewolf game using an agent based on our proposed behavioral model, as well as a random agent for comparison. Consequently, we obtained an 81.55% coincidence ratio of agent behavior versus human behavior.

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Footnotes
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Metadata
Title
Werewolf Game Modeling Using Action Probabilities Based on Play Log Analysis
Authors
Yuya Hirata
Michimasa Inaba
Kenichi Takahashi
Fujio Toriumi
Hirotaka Osawa
Daisuke Katagami
Kousuke Shinoda
Copyright Year
2016
Book
Computers and Games

Print ISBN: 978-3-319-50934-1

Electronic ISBN: 978-3-319-50935-8

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-50935-8_10

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