DocumentCode
2110003
Title
Modeling Agent Social Joint Actions via Micro and Macro Coordination Strategies
Author
Seung In Park ; Quek, F. ; Yong Cao
Author_Institution
Dept. of Comput. Sci., Virginia Tech, Blacksburg, VA, USA
Volume
2
fYear
2012
fDate
4-7 Dec. 2012
Firstpage
180
Lastpage
187
Abstract
This paper presents a multi-agent model for large crowd simulations that addresses the need for socially plausible coordination behavior. A computational model for multi-agent coordination informed by well-established common ground theory is proposed. We introduce the idea of macro- and micro-coordination strategies that allow agent-based simulations to adapt to different domains. Our agent model allows the selection of appropriate behaviors based on the spatiotemporal conditions of the agent-group´s environment. By showing that different micro-coordination strategies of individual groups has an influence on the overall distribution of a crowd, we demonstrate the importance of incorporating such models into multi-agent simulations of large crowd behaviors.
Keywords
behavioural sciences; multi-agent systems; social sciences; agent social joint action modeling; agent-based simulation; agent-group environment; appropriate behavior selection; common ground theory; computational model; crowd distribution; large crowd behavior; large crowd simulation; macrocoordination strategy; microcoordination strategy; multiagent coordination; multiagent model; multiagent simulation; socially plausible coordination behavior; spatiotemporal condition; common ground theory; coordination; crowd simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
Conference_Location
Macau
Print_ISBN
978-1-4673-6057-9
Type
conf
DOI
10.1109/WI-IAT.2012.169
Filename
6511569
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