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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

Emergent hierarchical structures in multiadaptive games.

Sungmin Lee1, Petter Holme, Zhi-Xi Wu

  • 1IceLab, Department of Physics, Umeå University, 90187 Umeå, Sweden.

Physical Review Letters
|March 17, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces multiadaptive games, where agent behavior shapes social system rules and interactions. Complex dynamics emerge, leading to heterogeneous networks where cooperation and topology coevolve.

Related Experiment Videos

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:

  • Complex Systems
  • Game Theory
  • Social Network Analysis

Background:

  • Social systems involve complex interactions.
  • Agent behavior influences system dynamics and structure.
  • Understanding emergent properties is crucial.

Purpose of the Study:

  • To investigate a game-theoretic model of social systems.
  • To introduce and analyze multiadaptive games.
  • To explore feedback couplings between agent behavior and environment.

Main Methods:

  • Developed a game-theoretic model.
  • Incorporated feedback couplings from agent behavior to the environment.
  • Analyzed emergent network topologies and dynamic behaviors.

Main Results:

  • The multiadaptive game model exhibits complex behavior.
  • Identified distinct dynamic regimes with unique topological properties.
  • Observed heterogeneous, hierarchical networks in some regimes.

Conclusions:

  • Agent-driven adaptation shapes social system rules and interactions.
  • Cooperation and network topology can coemerge from system dynamics.
  • Multiadaptive games offer insights into complex social structures.