• 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