Simulation reveals structural factors dominate in ensuring evolutionary stability of cooperation, suggesting implications for strategy development.
We analyze how spatial structure and initial strategy distributions shape the evolutionary stability of cooperation (ESS) in repeated multi-player Prisoner’s Dilemma, using simulations where a large multimodal model (LMM) serves as a research tool (for automation, code generation, and visualization), not as a player. On 2D/3D polyomino tilings, we manipulate the anisohedral number (��) and edge marking, and observe dynamics under rule-based strategies (C/D/TFT) with a best-performing-neighbor imitation update rule. Results show: (1) Structural factors (anisohedrality, edge marking) outweigh initial strategy shares in determining cooperative stability. In particular, edge marking markedly reduces rounds-to-ESS within each ��, with very large effect sizes (Hedges’ ��) (2) Higher �� leads to longer time to ESS, indicating that strategy diversity and spatial differentiation support sustained cooperation. We propose an AI-assisted experimental template applicable to mathematical modeling and strategic reasoning tasks. A limitation is the lack of qualitative evidence on learners’ cognition and strategy formation; classroom-based validation is warranted.
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Sang-Hun Song (2025) studied this question.
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