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The HoneyComb Paradigm for Research on Collective Human Behavior
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Collective patterns and stable misunderstandings in networks striving for consensus without a common value system.

Johannes Falk1, Edwin Eichler2,3, Katja Windt3,4

  • 1Department of Life Sciences and Chemistry, Jacobs University, Bremen, Germany. j.falk@jacobs-university.de.

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Summary

Collective consensus can emerge even without a shared understanding of truth. This study models agents with subjective perceptions, revealing a transition from disordered communication to a shared signaling framework, including

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Area of Science:

  • Complex Systems
  • Social Dynamics
  • Agent-Based Modeling

Background:

  • Collective phenomena are key to understanding social, ecological, and biological systems.
  • Existing models often assume shared understanding or a common truth, which is not always realistic.
  • The emergence of consensus without a 'right' or 'wrong' framework remains an open question.

Purpose of the Study:

  • To investigate if collective consensus can emerge in systems where agents have only subjective perceptions.
  • To explore a communication model that does not presuppose a definition of correctness.
  • To analyze the impact of agent responsiveness on consensus formation.

Main Methods:

  • Introduction of a novel agent-based model with subjective perceptions.
  • Simulation of interacting agents with varying responsiveness to worldview changes.
  • Analysis of communication dynamics and convention alignment.

Main Results:

  • A transition is observed between an unordered phase (no communication) and an ordered phase (emerging shared signaling framework).
  • Two types of convention-aligned clusters were identified: uniform conventions and 'stable misunderstandings' (compatible, differing conventions).
  • Agent responsiveness is a critical parameter determining the system's phase.

Conclusions:

  • Collective consensus and shared signaling frameworks can emerge without agents agreeing on objective truth.
  • Subjective perceptions and compatible conventions can lead to functional collective behavior.
  • The model provides insights into the formation of conventions in diverse systems.