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Related Experiment Video

Updated: Mar 29, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Polya's bees: A model of decentralized decision-making.

Russell Golman¹, David Hagmann¹, John H Miller²

¹Department of Social and Decision Sciences, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.

Science Advances

|November 25, 2015

Summary

Decentralized systems like ant colonies make quick, accurate decisions using information search and quorum sensing. This process balances decision speed and accuracy, offering insights for social and artificial systems.

Keywords:

Polya urn process consensus decision making decentralized systems quorum

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Published on: November 15, 2014

Area of Science:

Collective intelligence
Decision-making in natural systems
Computational social science

Background:

Many natural systems, from insect colonies to neural networks, exhibit decentralized decision-making without central control.
Understanding the mechanisms behind these collective choices is crucial for fields like artificial intelligence and social organization.

Purpose of the Study:

To investigate the common processes underlying decentralized decision-making in natural systems.
To model and analyze the speed-accuracy tradeoff inherent in these collective choices.
To explore the adaptive nature of systemic risk aversion in decentralized consensus.

Main Methods:

Utilized an urn scheme model to simulate decentralized decision-making processes.
Incorporated principles of information search with positive feedback and quorum sensing.
Characterized the relationship between decision speed and accuracy within the model.

Main Results:

Identified a common mechanism involving information search and quorum sensing for decentralized decisions.
Quantified an inherent tradeoff between decision speed and accuracy.
Demonstrated that consensus choice leads to systemic risk aversion, even with risk-neutral individuals.

Conclusions:

Decentralized systems can effectively navigate the speed-accuracy tradeoff using the proposed mechanism.
Consensus choice in natural systems exhibits adaptive systemic risk aversion.
The findings offer a framework for designing more robust and efficient social and artificial systems.