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The remarkable adaptability of humans in response to complex environments is often demonstrated by the context-dependent adoption of different behavioral modes. However, the existing game-theoretic studies mostly focus on the single-mode…

种群与进化 · 定量生物学 2024-12-20 Anhui Sheng , Jing Zhang , Guozhong Zheng , Jiqiang Zhang , Weiran Cai , Li Chen

Extensive behavioral experiments reveal that conditional cooperation is a prevalent phenomenon. Previous game-theoretical studies have predominantly relied on hard-manner models, where cooperation is triggered only upon reaching a specific…

种群与进化 · 定量生物学 2026-02-04 Chenyang Zhao , Xinshi Feng , Guozhong Zheng , Weiran Cai , Jiqiang Zhang , Li Chen

Repeated interaction between individuals is the main mechanism for maintaining cooperation in social dilemma situations. Variants of tit-for-tat (repeating the previous action of the opponent) and the win-stay lose-shift strategy are known…

种群与进化 · 定量生物学 2011-11-08 Shoma Tanabe , Naoki Masuda

Evolutionary models are used to study the self-organisation of collective action, often incorporating population structure due to its ubiquitous presence and long-known impact on emerging phenomena. We investigate the evolution of…

种群与进化 · 定量生物学 2023-04-20 Diogo L. Pires , Igor Erovenko , Mark Broom

In this paper we address the cooperation problem in structured populations by considering the prisoner's dilemma game as metaphor of the social interactions between individuals with imitation capacity. We present a new strategy update rule…

计算机科学与博弈论 · 计算机科学 2013-03-19 Ignacio Gomez Portillo

Recent paradigm shifts from imitation learning to reinforcement learning (RL) is shown to be productive in understanding human behaviors. In the RL paradigm, individuals search for optimal strategies through interaction with the environment…

种群与进化 · 定量生物学 2024-12-20 Guozhong Zheng , Jiqiang Zhang , Shengfeng Deng , Weiran Cai , Li Chen

A network model based on players' aspirations is proposed and analyzed theoretically and numerically within the framework of evolutionary game theory. In this model, players decide whether to cooperate or defect by comparing their payoffs…

物理与社会 · 物理学 2025-02-06 M. Aguilar-Janita , N. Khalil , I. Leyva , I. Sendiña-Nadal

Cooperation often depends on individuals avoiding exploitation and interacting preferentially with other cooperators. We explore how context-dependent migration influences the evolution of cooperation in spatially structured populations.…

种群与进化 · 定量生物学 2025-09-03 Dhaker Kroumi

Cooperative behavior lies at the very basis of human societies, yet its evolutionary origin remains a key unsolved puzzle. Whereas reciprocity or conditional cooperation is one of the most prominent mechanisms proposed to explain the…

物理与社会 · 物理学 2016-03-22 Giulio Cimini , Angel Sánchez

Interactions among individuals in natural populations often occur in a dynamically changing environment. Understanding the role of environmental variation in population dynamics has long been a central topic in theoretical ecology and…

种群与进化 · 定量生物学 2021-05-18 Feng Huang , Ming Cao , Long Wang

Cooperation is usually represented as a Prisoner's Dilemma game. Although individual self-interest may not favour cooperation, cooperation can evolve if, for example, players interact multiple times adjusting their behaviour accordingly to…

物理与社会 · 物理学 2015-04-29 Elton J. S. Júnior , Lucas Wardil , Jafferson K. L. da Silva

The pursuit of highest payoffs in evolutionary social dilemmas is risky and sometimes inferior to conformity. Choosing the most common strategy within the interaction range is safer because it ensures that the payoff of an individual will…

物理与社会 · 物理学 2014-12-23 Attila Szolnoki , Matjaz Perc

Cancer cells obtain mutations which rely on the production of diffusible growth factors to confer a fitness benefit. These mutations can be considered cooperative, and studied as public goods games within the framework of evolutionary game…

种群与进化 · 定量生物学 2021-09-06 Jessie Renton , Karen M. Page

The emergence and maintenance of cooperation has attracted intensive scholarly interest and has been analysed within the framework of evolutionary game theory. The role of innovation, which introduces novel strategies into the population,…

物理与社会 · 物理学 2019-07-30 Hirofumi Takesue

Continuously changing environments have a paramount role in the evolution of cooperative behavior. Previous works have shown that the transitions among different games, as the feedback between behaviors and environments, can promote…

物理与社会 · 物理学 2026-03-25 Yuji Zhang , Minyu Feng , Qin Li , Matjaz Perc , Attila Szolnoki

Cooperative behavior is widespread in nature, even though cooperating individuals always run the risk to be exploited by free-riders. Population structure effectively promotes cooperation given that a threshold in the level of cooperation…

种群与进化 · 定量生物学 2015-06-16 Anna Melbinger , Jonas Cremer , Erwin Frey

To understand the emergence and sustainment of cooperative behavior in interacting collectives, we perform global convergence analysis for replicator dynamics of a large, well-mixed population of individuals playing a repeated snowdrift…

动力系统 · 数学 2019-10-10 Pouria Ramazi , Ming Cao

Although the cooperative dynamics emerging from a network of interacting players has been exhaustively investigated, it is not yet fully understood when and how network reciprocity drives cooperation transitions. In this work, we…

适应与自组织系统 · 物理学 2023-05-17 Nagi Khalil , I. Leyva , J. A. Almendral , I. Sendiña-Nadal

Configurational arrangement of network architecture and interaction character of individuals are two most influential factors on the mechanisms underlying the evolutionary outcome of cooperation, which is explained by the well-established…

种群与进化 · 定量生物学 2018-02-16 Bijan Sarkar

We study evolutionary game dynamics in finite populations. We analyze an evolutionary process, which we call pairwise comparison, for which we adopt the ubiquitous Fermi distribution function from statistical mechanics. The inverse…

种群与进化 · 定量生物学 2007-05-23 Arne Traulsen , Martin A. Nowak , Jorge M. Pacheco
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