Paper Info
Title
PsychSim: Agent-based Modeling of Social Interactions and Influence
Abstract
Agent-based modeling of human social behavior is an increas- ingly important research area. For example, it is critical to designing virtual humans, human-like autonomous agents that interact with people in virtual worlds. A key factor in human social interaction is our beliefs about others, in particular a the- ory of mind. Whether we believe a message depends not only on its content but also on our model of the communicator. The actions we take are influenced by how we believe others will react. However, theory of mind is usually ignored in compu- tational models of social interaction. In this paper, we present PsychSim, an implemented multiagent-based simulation tool for modeling interactions and influence among groups or indi- viduals. Each agent has its own decision-theoretic model of the world, including beliefs about its environment and recursive models of other agents. Having thus given the agents a theory of mind, PsychSim also provides them with a psychologically motivated mechanism for updating their beliefs in response to actions and messages of other agents. We discuss PsychSim and present an example of its operation.
Year
Venue
Keywords
2004
ICCM
social behavior,social interaction,virtual worlds,autonomous agent,virtual human
Field
DocType
Citations 
Social relation,Metaverse,Autonomous agent,Agent-based social simulation,Computer science,Cognitive science,Theory of mind,Cognitive psychology,Knowledge management,Computational model,Recursion
Conference
69
PageRank 
References 
Authors
7.39
8
1
Name
Order
Citations
PageRank
David V. Pynadath11556130.56