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Collective intelligence as collective information processing.

Zara Anwarzai1, Cody Moser2, Hannah Dromiack3

  • 1Department of Philosophy at Simon Fraser University, 8888 University Dr W, Burnaby, BC V5A 1S6, Canada; Cognitive Science Program at Simon Fraser University, 8888 University Dr W, Burnaby, BC V5A 1S6, Canada.

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Summary
This summary is machine-generated.

This study introduces collective information processing (CIP) as a unifying framework for understanding diverse collective intelligence behaviors. CIP reveals common information processing mechanisms underlying group problem-solving and social animal behaviors.

Keywords:
AgencyCausationCollective behaviorCollective intelligenceEmergenceInformation processing

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Area of Science:

  • Information Science
  • Cognitive Science
  • Behavioral Science

Background:

  • Collective intelligence research spans multiple disciplines, studying behaviors like group problem-solving and animal flocking.
  • Existing research lacks a unifying framework to classify diverse forms of collective intelligence.
  • The commonalities among different collective intelligence phenomena remain unclear.

Purpose of the Study:

  • To develop a novel framework for classifying collective intelligence based on information processing mechanisms.
  • To establish collective information processing (CIP) as a foundational concept for collective intelligence.
  • To unify existing definitions and approaches to collective intelligence.

Main Methods:

  • Developed a conceptual framework based on collective information processing (CIP).
  • Defined CIP through two key mechanisms: individual processing of group information and group-level sensitivity to information arrangement.
  • Operationalized the CIP framework to analyze and classify various forms of collective intelligence.

Main Results:

  • Identified collective information processing (CIP) as a common foundation for collective intelligence.
  • Demonstrated that CIP involves both individual and group-level information processing.
  • Classified different collective intelligence forms using the CIP framework and quantifiable information processing measures.

Conclusions:

  • Collective intelligence can be understood as collective information processing (CIP).
  • The CIP framework provides a novel and unifying approach to studying collective intelligence across disciplines.
  • This framework integrates and expands upon existing theories of collective intelligence.