TY - GEN
T1 - Participatory simulation platform using network games
AU - Sawada, Shoichi
AU - Hattori, Hiromitsu
AU - Odagaki, Marika
AU - Nakajima, Kengo
AU - Ishida, Toru
PY - 2008
Y1 - 2008
N2 - In this paper, we develop a novel participatory simulation platform, called gumonji/Q, by integrating scenario description language Q and network game gumonji. In a participatory simulation, humans and software-agents coexist in a shared virtual space and jointly perform simulations. To observe practical behaviors of humans, a participatory simulation platform must be able to provide reasonable simulated experience for humans to let them behave as they do in the real-world. gumonji/Q makes it possible to design diverse interaction protocols based on Q's scenario description ability. Under the "game-quality" graphics provided by gumonji, humans and agents can interact with their surrounding environment, which means they can affect the environment and receive feedback from the environment. Since gumonji/Q inherits gumonji's features as a network game, users are more enticed to participate in simulations since simulations on gumonji/Q seems more enjoyable than normal simulations. We show an example of how to obtain human behavior models through a simulation on gumonji/Q.
AB - In this paper, we develop a novel participatory simulation platform, called gumonji/Q, by integrating scenario description language Q and network game gumonji. In a participatory simulation, humans and software-agents coexist in a shared virtual space and jointly perform simulations. To observe practical behaviors of humans, a participatory simulation platform must be able to provide reasonable simulated experience for humans to let them behave as they do in the real-world. gumonji/Q makes it possible to design diverse interaction protocols based on Q's scenario description ability. Under the "game-quality" graphics provided by gumonji, humans and agents can interact with their surrounding environment, which means they can affect the environment and receive feedback from the environment. Since gumonji/Q inherits gumonji's features as a network game, users are more enticed to participate in simulations since simulations on gumonji/Q seems more enjoyable than normal simulations. We show an example of how to obtain human behavior models through a simulation on gumonji/Q.
KW - Gaming
KW - Multiagent simulation
KW - Networked simulator
KW - Participatory modeling
KW - Participatory simulation
UR - http://www.scopus.com/inward/record.url?scp=58449094294&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58449094294&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89674-6_41
DO - 10.1007/978-3-540-89674-6_41
M3 - Conference contribution
AN - SCOPUS:58449094294
SN - 3540896732
SN - 9783540896739
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 370
EP - 380
BT - Intelligent Agents and Multi-Agent Systems - 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, Proceedings
T2 - 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008
Y2 - 15 December 2008 through 16 December 2008
ER -