Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/WI-IAT.2012.169 | IAT |
Keywords | Field | DocType |
multiagent simulation,social sciences,macro coordination strategies,common ground theory,micro-coordination strategy,agent social joint action modeling,coordination,spatiotemporal condition,agent-group environment,multiagent coordination,microcoordination strategy,multi-agent simulation,multi-agent systems,behavioural sciences,large crowd simulation,multi-agent model,crowd simulation,different micro-coordination strategy,macrocoordination strategy,agent-based simulation,agent model,crowd distribution,different domain,computational model,multi-agent coordination,appropriate behavior selection,multiagent model,socially plausible coordination behavior,modeling agent social joint,large crowd behavior | Data mining,Agent-based social simulation,Computer science,Human–computer interaction,Artificial intelligence,Crowd simulation,Common ground,Macro | Conference |
Volume | ISBN | Citations |
2 | 978-1-4673-6057-9 | 5 |
PageRank | References | Authors |
0.45 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seung In Park | 1 | 26 | 3.96 |
| Francis K. H. Quek | 2 | 1085 | 96.29 |
| Yong Cao | 3 | 68 | 10.33 |