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The HoneyComb Paradigm for Research on Collective Human Behavior
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Collective information processing and pattern formation in swarms, flocks, and crowds.

Mehdi Moussaid1, Simon Garnier, Guy Theraulaz

  • 1ETH Zurich, Swiss Federal Institute of TechnologyCenter for Research on Animal Cognition, University of Toulouse III.

Topics in Cognitive Science
|August 29, 2014
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Summary

Animal groups and human crowds exhibit spontaneous organization, integrating individual knowledge for collective tasks. Information exchange drives these self-organization dynamics, influenced by individual learning and experience.

Keywords:
Collective behaviorsDistributed cognitionInformation transferLiving beingsSelf-organizationSocial interactions

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Area of Science:

  • Collective behavior
  • Social dynamics
  • Information theory

Background:

  • Spontaneous organization in animal groups and human societies is a key area of research.
  • Collective coordination enables group-living species to achieve tasks beyond individual capabilities.
  • Integration of partial environmental knowledge at the collective level is a significant benefit.

Purpose of the Study:

  • To discuss self-organization phenomena in animal swarms and human crowds.
  • To analyze these phenomena from the perspective of information exchange among individuals.
  • To provide a classification of collective dynamics based on information transfer and collective knowledge processing.

Main Methods:

  • Review and discussion of self-organization phenomena.
  • General description of collective dynamics across species.
  • Classification of collective dynamics based on information transfer and collective knowledge processing.

Main Results:

  • Collective dynamics in animal swarms and human crowds are driven by information exchange.
  • A classification framework for collective dynamics is proposed, considering information transfer and collective knowledge processing.
  • Individual learning and past experiences can feedback and influence collective dynamics.

Conclusions:

  • Self-organization in collective behavior is fundamentally linked to information exchange.
  • Understanding information transfer and processing is crucial for explaining collective dynamics.
  • Individual learning plays a role in shaping emergent behavioral conventions in groups.