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September 5, 2026Management System EngineeringOpen Access

Opinion-driven selective interaction promotes cooperation: an evolutionary game approach with discrete multidimensional opinions

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Authors

JQJi QuanYPYang PengLTLeyao Tao

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Overview

Simulation study demonstrates that lower opinion tolerance enhances cooperation in spatial networks, indicating that selective interaction fosters stable cooperative clusters.

Key Points

  • Investigate how opinion heterogeneity and opinion-driven selective interaction mechanisms influence interaction dynamics and the emergence of cooperation in social dilemmas.
  • Integrated discrete, multidimensional opinions into a spatial Prisoner’s Dilemma model using an extended Voter model.
  • Governed interaction choices by opinion dissimilarity, updated opinions using a payoff-weighted rule, and modeled strategy evolution via Fermi dynamics.
  • Lower tolerance for differing opinions significantly promoted cooperation by restricting interactions to like-minded agents and forming stable, homogeneous cooperative clusters.
  • Higher interaction avoidance costs enhanced cooperation by accelerating opinion convergence and amplifying the payoff advantage of aligned individuals over non-interacting individuals.

Cite This Study

Quan et al. (2026) studied this question.

synapsesocial.com/papers/6a9bd4126b95aff0620eb701https://doi.org/10.1007/s44176-026-00073-6
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Also Consider

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  1. 1Different perceptions of social dilemmas: Evolutionary multigames in structured populations2014 · 142 citations
  2. 2Coupling with opinion dynamics promotes prosocial behavior in multilayer networks2026
  3. 3Interaction density drives cooperation in large evolutionary populations: Evidence from large-scale agent-based simulations2026
  4. 4Individual heterogeneity promotes the evolution of cooperation on temporary networks2024
  5. 5Cooperation dynamics in social dilemmas with individual preference and environmental feedback2024