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Article
Crowd Simulation Incorporating Agent Psychological Models, Roles and Communication
Center for Human Modeling and Simulation
  • Barry G Silverman, University of Pennsylvania
  • Norman I Badler, University of Pennsylvania
  • Nuria Pelechano, University of Pennsylvania
  • Kevin O'Brien, University of Pennsylvania
Document Type
Journal Article
Date of this Version
11-24-2005
Comments

Postprint version. Presented at First International Workshop on Crowd Simulation (V-CROWDS '05), November 2005.

Abstract
We describe a new architecture to integrate a psychological model into a crowd simulation system in order to obtain believable emergent behaviors. Our existing crowd simulation system (MACES) performs high level wayfinding to explore unknown environments and obtain a cognitive map for navigation purposes, in addition to dealing with low level motion within each room based on social forces. Communication and roles are added to achieve individualistic behaviors and a realistic way to spread information about the environment. To expand the range of realistic human behaviors, we use a system (PMFserv) that implements human behavior models from a range of ability, stress, emotion, decision theoretic and motivation sources. An architecture is proposed that combines and integrates MACES and PMFserv to add validated agent behaviors to crowd simulations.
Keywords
  • crowd simulation,
  • autonomous agents,
  • human behavior models,
  • culture and emotions
Citation Information
Barry G Silverman, Norman I Badler, Nuria Pelechano and Kevin O'Brien. "Crowd Simulation Incorporating Agent Psychological Models, Roles and Communication" (2005)
Available at: http://works.bepress.com/barry_silverman/15/