Gal A. Kaminka: Publications

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A Cognitive Model of Crowd Behavior Based on Social Comparison Theory

Gal A. Kaminka and Natalie Fridman. A Cognitive Model of Crowd Behavior Based on Social Comparison Theory. In Proceedings of the AAAI-2006 workshop on cognitive modeling, 2006.

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Abstract

Modeling crowd behavior is an important challenge for cognitive modelers. Models of crowd behavior facilitate analysis and prediction of the behavior of groups of people, who are in close geographical or logical states, and are affected by each other's presence and actions. Existing models of crowd behavior, in a variety of fields, leave many open challenges. In particular, psychology models often offer only qualitative description, and do not easily permit algorithmic replication, while computer science models are often simplistic, treating agents as simple deterministic particles. We propose a novel model of crowd behavior, based on Festinger's Social Comparison Theory (SCT), a social psyc hology theory known and expanded since the early 1950's. We propose a concrete algorithmic framework for SCT, and evaluate its implementations in several crowd behavior scenarios. We show that our SCT model produces improved results compared to base models from the literature. We also discuss an implementation of SCT in the Soar cognitive architecture, and the question this implementation raises as to the role of social reasoning in cognitive architectures.

Additional Information

BibTeX

@InProceedings{sct06ws, 
  author = 	 {Gal A. Kaminka and Natalie Fridman}, 
  title = 	 {A Cognitive Model of Crowd Behavior Based on Social Comparison Theory}, 
  OPTcrossref =  {}, 
  OPTkey = 	 {}, 
  booktitle = {Proceedings of the {AAAI}-2006 workshop on cognitive modeling}, 
  OPTpages = 	 {}, 
  year = 	 {2006}, 
  abstract = {Modeling crowd behavior is an important challenge for 
              cognitive modelers. Models of crowd behavior facilitate 
              analysis and prediction of the behavior of groups of 
              people, who are in close geographical or logical states, 
              and are affected by each other's presence and 
              actions. Existing models of crowd behavior, in a variety 
              of fields, leave many open challenges.  In particular, 
              psychology models often offer only qualitative 
              description, and do not easily permit algorithmic 
              replication, while computer science models are often 
              simplistic, treating agents as simple deterministic 
              particles. We propose a novel model of crowd behavior, 
              based on Festinger's Social Comparison Theory (SCT), a 
              social psyc hology theory known and expanded since the 
              early 1950's. We propose a concrete algorithmic 
              framework for SCT, and evaluate its implementations in 
              several crowd behavior scenarios. We show that our SCT 
              model produces improved results compared to base models 
              from the literature. We also discuss an implementation 
              of SCT in the Soar cognitive architecture, and the 
              question this implementation raises as to the role of 
              social reasoning in cognitive architectures.  }, 
  wwwnote = {}, 
  OPTeditor = 	 {}, 
  OPTvolume = 	 {}, 
  OPTnumber = 	 {}, 
  OPTseries = 	 {}, 
  OPTaddress = 	 {}, 
  OPTmonth = 	 {}, 
  OPTorganization = {}, 
  OPTpublisher = {}, 
  OPTnote = 	 {}, 
  OPTannote = 	 {} 
} 

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