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Updated: Dec 25, 2025

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
Published on: October 20, 2022
Searching for structure in collective systems
Colin R Twomey1, Andrew T Hartnett2, Matthew M G Sosna3
1Department of Biology, University of Pennsylvania, Philadelphia, PA, USA. crtwomey@sas.upenn.edu.
Researchers developed a universal measure for quantifying collective behavior coordination across diverse systems, from fish schools to neural networks. This new approach enables cross-system comparisons and reveals internal organizational structures within these complex systems.
Area of Science:
- Collective behavior
- Systems biology
- Information theory
Background:
- Collective systems, such as fish schools and neural networks, exhibit coordinated behavior through local interactions.
- Current measures of large-scale coordination are system-specific, hindering broad comparisons.
- A universal, quantitative scale for coordination is lacking.
Purpose of the Study:
- To develop a system-independent measure of coordination for collective behavior.
- To enable quantitative comparisons across diverse collective systems.
- To identify and analyze the most coordinated components within systems.
Main Methods:
- Utilized an information-theoretic measure of multivariate dependence.
- Developed a novel, system-independent coordination metric.
- Applied the metric to analyze classic and well-studied collective systems.
Main Results:
- Introduced a universal measure applicable to various collective systems.
- Provided a new perspective on well-established collective phenomena.
- Demonstrated a method for identifying highly coordinated subsystems.
Conclusions:
- The developed measure offers a unified framework for studying collective coordination.
- This approach facilitates cross-disciplinary research in collective behavior.
- Reveals underlying organizational principles in natural and artificial systems.
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