Evolution of cooperation with Q-learning: The impact of information perception DOI
Guozhong Zheng,

Zhenwei Ding,

Jiqiang Zhang

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(5)

Published: May 1, 2025

The inherent complexity of human beings manifests in a remarkable diversity responses to intricate environments, enabling us approach problems from varied perspectives. However, the study cooperation, existing research within reinforcement learning framework often assumes that individuals have access identical information when making decisions, which contrasts with reality frequently perceive differently. In this study, we employ Q-learning algorithm explore impact perception on evolution cooperation two-person prisoner’s dilemma game. We demonstrate evolutionary processes differ significantly across three distinct scenarios, highlighting critical role structure emergence cooperation. Notably, asymmetric scenario reveals complex dynamical process, including emergence, breakdown, and reconstruction mirroring psychological shifts observed behavior. Our findings underscore importance fostering offering new insights into establishment stable cooperative relationships among humans.

Language: Английский

Experience-driven learning and interactive rules under link weight adjustment promote cooperation in spatial prisoner's dilemma game DOI
Shounan Lu, Yang Wang

Applied Mathematics and Computation, Journal Year: 2025, Volume and Issue: 497, P. 129381 - 129381

Published: Feb. 28, 2025

Language: Английский

Citations

0

Evolution of cooperation with Q-learning: The impact of information perception DOI
Guozhong Zheng,

Zhenwei Ding,

Jiqiang Zhang

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(5)

Published: May 1, 2025

The inherent complexity of human beings manifests in a remarkable diversity responses to intricate environments, enabling us approach problems from varied perspectives. However, the study cooperation, existing research within reinforcement learning framework often assumes that individuals have access identical information when making decisions, which contrasts with reality frequently perceive differently. In this study, we employ Q-learning algorithm explore impact perception on evolution cooperation two-person prisoner’s dilemma game. We demonstrate evolutionary processes differ significantly across three distinct scenarios, highlighting critical role structure emergence cooperation. Notably, asymmetric scenario reveals complex dynamical process, including emergence, breakdown, and reconstruction mirroring psychological shifts observed behavior. Our findings underscore importance fostering offering new insights into establishment stable cooperative relationships among humans.

Language: Английский

Citations

0