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Swarm intelligence: when uncertainty meets conflict.

Larissa Conradt1, Christian List, Timothy J Roper

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Summary
This summary is machine-generated.

Conflict can improve collective decision-making. Sharing decisions among individuals with conflicting goals, surprisingly, enhances individual gains and accuracy, unlike decisions made without conflict.

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Area of Science:

  • Behavioral Ecology
  • Evolutionary Game Theory
  • Decision Science

Background:

  • Effective decision-making is crucial for survival and fitness.
  • Understanding profitable strategies in conflict-driven decision-making remains limited.
  • Sharing decisions can pool information but also introduce conflicting interests.

Purpose of the Study:

  • To investigate when animals should share decisions in conflict situations.
  • To determine the impact of conflicting goals on collective decision accuracy and individual gains.
  • To explore the role of shared large-scale goals in successful conflict-based decision-making.

Main Methods:

  • Development of a theoretical model to simulate decision-making processes.
  • Analysis of decision outcomes under conditions of conflict and no conflict.
  • Examination of the correlation of individual choice errors in shared decisions.

Main Results:

  • Decision sharing among animals with conflicting goals often improves individual gains and accuracy.
  • Contrary to intuition, conflict can enhance decision outcomes when large-scale goals are shared.
  • Decisions shared by non-conflicting individuals frequently resulted in poor outcomes.
  • Reduced correlation in individual choice errors underlies the benefits of conflict in decision-making.

Conclusions:

  • Conflict, when aligned with shared overarching goals, can be beneficial for collective decision-making.
  • Excluding minority factions from collective decisions may be detrimental.
  • Findings suggest implications for improving human collective decision-making processes by including diverse perspectives.