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Modeling Crowd Behavior Based on Social Comparison Theory: Extended Abstract

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Cellular Automata (ACRI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4173))

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Abstract

Modeling crowd behavior is an important challenge for cognitive modelers. We propose a novel model of crowd behavior, based on Festinger’s Social Comparison Theory, a social psychology theory known and expanded since the early 1950’s. We propose a concrete framework for SCT, and evaluate its implementations in several crowd behavior scenarios. The results show improved performance over existing models.

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Authors and Affiliations

  1. The MAVERICK Group, Computer Science Department, Bar Ilan University, Israel

    Natalie Fridman & Gal Kaminka

Authors
  1. Natalie Fridman
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  2. Gal Kaminka
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Editor information

Editors and Affiliations

  1. Laboratory of Mathematics, Physics and Systems, University of Perpignan, 52, Paul Alduy Avenue, 66860, Perpignan, Cedex, France

    Samira El Yacoubi

  2. Computer Science Department, University of Geneva, Switzerland

    Bastien Chopard

  3. Research Center on Complex Systems and Artificial Intelligence (CSAI) Department of Computer Science, Systems and Communication (DISCo), University of Milan, Bicocca viale Sarca, 336, 20126, Milan, (Italy)

    Stefania Bandini

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© 2006 Springer-Verlag Berlin Heidelberg

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Fridman, N., Kaminka, G. (2006). Modeling Crowd Behavior Based on Social Comparison Theory: Extended Abstract. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds) Cellular Automata. ACRI 2006. Lecture Notes in Computer Science, vol 4173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861201_81

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  • DOI: https://doi.org/10.1007/11861201_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40929-8

  • Online ISBN: 978-3-540-40932-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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