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Related Experiment Video

Updated: Aug 6, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

Beyond collective intelligence: Collective adaptation.

Mirta Galesic^1,2,3, Daniel Barkoczi⁴, Andrew M Berdahl⁵

¹Santa Fe Institute, Santa Fe, NM 87501, USA.

Journal of the Royal Society, Interface

|March 22, 2023

Summary

This summary is machine-generated.

This study introduces a framework for understanding collective adaptation in complex systems. It explores why groups fail, how they adapt strategies, and how to guide societal trajectories toward positive outcomes.

Keywords:

collective adaptation collective intelligence computational models social cognition social networks

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Last Updated: Aug 6, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

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Published on: October 20, 2022

Visualizing Visual Adaptation

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The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Area of Science:

Socio-cognitive systems
Complex systems science
Transdisciplinary social science

Background:

Collective behavior in complex systems is not always optimal.
Existing research often focuses on 'intelligent' collectives, overlooking failures.
Understanding societal adaptation is crucial for navigating complex challenges.

Purpose of the Study:

To develop a conceptual framework for studying collective adaptation.
To integrate interdisciplinary research on social dynamics and problem-solving.
To outline modeling approaches for analyzing collective behavior and societal trajectories.

Main Methods:

Developing a conceptual framework integrating social integration, environments, and problem structures.
Reviewing and integrating research from diverse disciplines.
Outlining quantitative and modeling approaches for analysis.

Main Results:

Identified key factors influencing collective adaptation: social integration strategies, environments, and problem structures.
Highlighted the importance of path dependence, lack of optimization, and collective myopia.
Provided a framework to explain counterintuitive collective outcomes.

Conclusions:

A transdisciplinary, quantitative social science is needed to understand complex societies.
The framework aids in anticipating and potentially altering harmful societal trajectories.
Understanding collective adaptation is key to avoiding disasters and realizing organizational potential.