Dynamic evolution in multi-player networked trust games with graded punishment

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2025, Номер 35(3)

Опубликована: Март 1, 2025

Trust holds a pivotal position in contemporary society. Yet, the question of how to elevate and sustain trust among selfish individuals poses formidable challenge. To delve into this issue, we incorporate graded punishment strategy networked N-player game, aiming observe progression trust-related behavior. Within game framework, punishers uphold certain degree participants by incurring an extra expense exclude those who betray trust. By conducting numerous Monte Carlo simulation experiments, uncover that can effectively curtail untrustworthy conduct significant degree, potentially even eliminating such behavior, thereby fostering improvement overall level within population. However, deploy strategy, it is imperative strike balance between penalty cost amount, ensuring natural evolution system not unduly disrupted. This crucial for preserving stability sustainability while safeguarding Broadly speaking, our study offers fresh insights approaches enhancing maintaining society, also highlighting avenues challenges future research, particularly realm applying strategies.

Язык: Английский

The impact of social learners on collective decision-making across varying interaction ranges

Chaos Solitons & Fractals, Год журнала: 2025, Номер 194, С. 116185 - 116185

Опубликована: Март 4, 2025

Язык: Английский