Participatory simulation environment gumonji/Q: A network game empowered by agents

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Abstract

Network games are attracting attention as simulation platforms for social experiments because of their rich visualization performance and scalability. Our objective in this study is to develop a participatory simulation platform on a network game. Unlike non player characters (NPCs) in network games, agents in a participatory multiagent-based simulation (PMAS) should behave as real-world humans according to behavior models. We developed a novel networked participatory simulation platform called gumonji/Q by integrating scenario description language Q with the network game gumonji. This paper details the implementation of gumonji/Q. In order to connect Q and gumonji, we implement communication sub-components that realize TCP/IP communication between them, and a scenario translator to convert a request from Q into a sequence of operators. This makes it possible for the gumonji simulator to deal with human-controlled avatars and Q-controlled agents in a unified way. © 2009 Springer-Verlag Berlin Heidelberg.

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APA

Yamane, S., Sawada, S., Hattori, H., Odagaki, M., Nakajima, K., & Ishida, T. (2009). Participatory simulation environment gumonji/Q: A network game empowered by agents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5925 LNAI, pp. 416–427). https://doi.org/10.1007/978-3-642-11161-7_29

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