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Peer pressure driven adaptive migration with Q-learning promotes cooperation in the spatial Prisoner’s dilemma

delete2026-07-02
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PRE
AI
Y
Yue Cheng
Q
Qianxi Yang
Y
Yanlong Yang *
DOI:10.1016/j.amc.2026.130230delete
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Abstract

Abstract

En 中文
• We propose a Q-learning adaptive migration mechanism driven by peer pressure. • We establish a dynamically coupled relationship of strategy and environment coevolution. • The synergy of peer pressure and Q-learning resolves the prisoner’s dilemma. • We present a more realistic and sophisticated migration decision-making mechanism.

Journal

Applied Mathematics and Computation cover
Applied Mathematics and Computation
IF:
3.4
Papers:
2.3W
Citations:
3.3W

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