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Related Experiment Video

Updated: Jun 3, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Mesoscopic effects in an agent-based bargaining model in regular lattices.

David J Poza1, José I Santos, José M Galán

  • 1Social Systems Engineering Centre INSISOC, Valladolid, Spain. djpoza@gmail.com

Plos One
|March 17, 2011
PubMed
Summary

This study introduces a spatial agent-based model for repeated Nash demand games. Spatial structure significantly impacts strategy diffusion and can lead to new persistent regimes not seen in global interaction models.

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Last Updated: Jun 3, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Area of Science:

  • Agent-based modeling
  • Game theory
  • Computational economics

Background:

  • Spatial structure is crucial in repeated games.
  • Previous models often assumed global interactions.
  • Agent-based models offer insights into complex systems.

Purpose of the Study:

  • To investigate the impact of spatial structure on the Nash demand game.
  • To extend existing multiagent bargaining models by incorporating spatial interactions.
  • To analyze the transient dynamics and emergent behaviors in a spatially structured population.

Main Methods:

  • Developed an agent-based model on a regular lattice.
  • Agents play the Nash demand game iteratively.
  • Agents use a best-reply strategy based on opponent's past demands and possess memory.
  • Computer simulations were used to analyze system dynamics.

Main Results:

  • All persistent regimes from global interaction models were observed.
  • Mesoscopic network properties significantly influence strategy diffusion.
  • Spatial distribution can lead to novel persistent regimes.
  • Community structures can result in divergent persistent regimes due to hindered diffusion.

Conclusions:

  • Spatial structure fundamentally alters game dynamics compared to global interaction models.
  • The emergent network properties, like community structures, create unique macroscopic behaviors.
  • Agent-based modeling with spatial constraints provides a richer understanding of strategic interactions.