Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
The dMARS Architecture: A Specification of the Distributed Multi-Agent Reasoning System
Autonomous Agents and Multi-Agent Systems
Evaluating computer-supported cooperative work: models and frameworks
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Articulating common ground in cooperative work: content and process
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Aggregate dynamics for dense crowd simulation
ACM SIGGRAPH Asia 2009 papers
Evaluation of virtual agents utilizing theory of mind in a real time action game
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Culture-related differences in aspects of behavior for virtual characters across Germany and Japan
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Modeling Agent Social Joint Actions via Micro and Macro Coordination Strategies
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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Social interaction and group coordination are important factors in the simulation of human crowd behavior. To date, few simulation methods have been informed by models of human group behavior from the social science studies. In this paper we advance a computational model informed by Common Ground (CG) Theory that both inherits the social realism provided by the CG model and is computationally tractable for a large number of groups and individuals. The task of navigation in a group is viewed as performing a joint activity among agents, which requires effective coordination among group members. Our model includes both macro and micro coordination, addressing the joint plans, and the actions for coordination respectively. These coordination activities and plans inform the high-level route and walking strategies of the agents. We demonstrate a series of studies to show the qualitative and quantitative differences in simulation results with and without incorporation of the CG model.