TY - GEN
T1 - AI wolf contest — development of game AI using collective intelligence —
AU - Toriumi, Fujio
AU - Osawa, Hirotaka
AU - Inaba, Michimasa
AU - Katagami, Daisuke
AU - Shinoda, Kosuke
AU - Matsubara, Hitoshi
N1 - Funding Information:
This work was partially supported by Hayao Nakayama Foundation for Science & Technology and Culture, Foundation for Fusion of Science and Technology, and JSPS KAKENHI Grant Number 26118006. We also want to say thanks for Computer Entertainment Developers Conference and Japan Society for Artificial Intelligence.
Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - In this study, we specify the design of an artificial intelligence (AI) player for a communication game called “Are You a Werewolf?” (AI Wolf). We present the Werewolf game as a standard game problem in the AI field. It is similar to game problems such as Chess, Shogi, Go, and Poker. The Werewolf game is a communication game that requires several AI technologies such as multi-agent coordination, intentional reading, and understanding of the theory of mind. Analyzing and solving the Werewolf game as a standard problem will provide useful results for our research field and its applications. Similar to the RoboCup project, the goal of this project is to determine new themes while creating a communicative AI player that can play the Werewolf game with humans. As an initial step, we designed a platform to develop a game-playing AI for a compe tition. First, we discuss the essential factors in Werewolf with reference to other studies. We then develop a platform for an AI game competition that uses simpli fied rules to support the development of AIs that can play Werewolf. The paper reports the process and analysis of the results of the competition.
AB - In this study, we specify the design of an artificial intelligence (AI) player for a communication game called “Are You a Werewolf?” (AI Wolf). We present the Werewolf game as a standard game problem in the AI field. It is similar to game problems such as Chess, Shogi, Go, and Poker. The Werewolf game is a communication game that requires several AI technologies such as multi-agent coordination, intentional reading, and understanding of the theory of mind. Analyzing and solving the Werewolf game as a standard problem will provide useful results for our research field and its applications. Similar to the RoboCup project, the goal of this project is to determine new themes while creating a communicative AI player that can play the Werewolf game with humans. As an initial step, we designed a platform to develop a game-playing AI for a compe tition. First, we discuss the essential factors in Werewolf with reference to other studies. We then develop a platform for an AI game competition that uses simpli fied rules to support the development of AIs that can play Werewolf. The paper reports the process and analysis of the results of the competition.
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U2 - 10.1007/978-3-319-57969-6_8
DO - 10.1007/978-3-319-57969-6_8
M3 - Conference contribution
AN - SCOPUS:85019267591
SN - 9783319579689
T3 - Communications in Computer and Information Science
SP - 101
EP - 115
BT - Computer Games - 5th Workshop on Computer Games, CGW 2016 and 5th Workshop on General Intelligence in Game Playing Agents, GIGA 2016 Held in Conjunction with the 25th International Conference on Artificial Intelligence, IJCAI 2016, Revised Selected Papers
A2 - Schiffel, Stephan
A2 - Cazenave, Tristan
A2 - Edelkamp, Stefan
A2 - Thielscher, Michael
A2 - Togelius, Julian
A2 - Winands, Mark H.M.
PB - Springer Verlag
T2 - 5th Workshop on Computer Games, CGW 2016 and 5th Workshop on General Intelligence in Game-Playing Agents, GIGA 2016 held in Conjunction with 25th International Conference on Artificial Intelligence, IJCAI 2016
Y2 - 9 July 2016 through 10 July 2016
ER -