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In this paper we extend the investigation of cooperation in some classical evolutionary games on populations were the network of interactions among individuals is of the scale-free type. We show that the update rule, the payoff computation…

物理与社会 · 物理学 2009-11-13 M. Tomassini , L. Luthi , E. Pestelacci

In this work we have used computer models of social-like networks to show by extensive numerical simulations that cooperation in evolutionary games can emerge and be stable on this class of networks. The amounts of cooperation reached are…

物理与社会 · 物理学 2012-07-12 Alberto Antonioni , Marco Tomassini

It is well known that in contrast to the Prisoner's Dilemma, the snowdrift game can lead to a stable coexistence of cooperators and cheaters. Recent theoretical evidence on the snowdrift game suggests that gradual evolution for individuals…

物理与社会 · 物理学 2015-05-19 Tatsuya Sasaki , Isamu Okada

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

This paper investigates discrete-time evolutionary games with a general stochastic imitation rule on the toroidal grid, which is a grid network with periodic boundary conditions. The imitation rule has been considered as a fundamental rule…

最优化与控制 · 数学 2023-06-30 Ge Chen , Yongyuan Yu

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

Evolutionary game theory is a common framework to study the evolution of cooperation, where it is usually assumed that the same game is played in all interactions. Here, we investigate a model where the game that is played by two…

物理与社会 · 物理学 2015-10-21 Marco A. Amaral , Jafferson K. L. da Silva , Lucas Wardil

We study agents on a network playing an iterated Prisoner's dilemma against their neighbors. The resulting spatially extended co-evolutionary game exhibits stationary states which are Nash equilibria. After perturbation of these equilibria,…

无序系统与神经网络 · 物理学 2009-11-07 Holger Ebel , Stefan Bornholdt

Various social contexts ranging from public goods provision to information collection can be depicted as games of strategic interactions, where a player's well-being depends on her own action as well as on the actions taken by her…

物理与社会 · 物理学 2015-04-01 Giulio Cimini , Claudio Castellano , Angel Sánchez

We establish a theoretical framework to address evolutionary dynamics of spatial games under strong selection. As the selection intensity tends to infinity, strategy competition unfolds in the deterministic way of winners taking all. We…

种群与进化 · 定量生物学 2022-09-20 Te Wu , Feng Fu , Long Wang

The environment has a strong influence on a population's evolutionary dynamics. Driven by both intrinsic and external factors, the environment is subject to continual change in nature. To capture an ever-changing environment, we consider a…

种群与进化 · 定量生物学 2022-02-18 Qi Su , Alex McAvoy , Long Wang , Martin A. Nowak

We study the evolution of cooperation in the evolutionary spatial prisoner's dilemma game (PDG) and snowdrift game (SG), within which a fraction $\alpha$ of the payoffs of each player gained from direct game interactions is shared equally…

物理与社会 · 物理学 2014-01-13 Zhi-Xi Wu , Han-Xin Yang

We analyze the influence of multiplayer interactions and network adaptation on the stability of equilibrium points in evolutionary games. We consider the Snowdrift game with both two-player and three-player interactions on simplicial…

适应与自组织系统 · 物理学 2022-06-08 Daniela Schlager , Konstantin Clauß , Christian Kuehn

Animal behavior and evolution can often be described by game-theoretic models. Although in many situations, the number of players is very large, their strategic interactions are usually decomposed into a sum of two-player games. Only…

种群与进化 · 定量生物学 2007-05-23 Dominik Kaminski , Jacek Miekisz , Marcin Zaborowski

In evolutionary game theory, repeated two-player games are used to study strategy evolution in a population under natural selection. As the evolution greatly depends on the interaction structure, there has been growing interests in studying…

计算机科学与博弈论 · 计算机科学 2011-02-21 Colin Cooper , Martin Dyer , Velumailum Mohanaraj

We study evolutionary games in a spatial diluted grid environment in which agents strategically interact locally but can also opportunistically move to other positions within a given migration radius. Using the imitation of the best rule…

物理与社会 · 物理学 2015-06-17 Pierre Buesser , Marco Tomassini , Alberto Antonioni

Prevalence of cooperation within groups of selfish individuals is puzzling in that it contradicts with the basic premise of natural selection. Favoring players with higher fitness, the latter is key for understanding the challenges faced by…

物理与社会 · 物理学 2016-09-08 Matjaz Perc , Attila Szolnoki

Microscopic strategy update rules play an important role in the evolutionary dynamics of cooperation among interacting agents on complex networks. Many previous related works only consider one \emph{fixed} rule, while in the real world,…

最优化与控制 · 数学 2023-11-27 Shengxian Wang , Weijia Yao , Ming Cao , Xiaojie Chen

The phenomenon of group cooperation constitutes a fundamental mechanism underlying various social and biological systems. Complex networks provide a structural framework for group interactions, where individuals can not only obtain…

物理与社会 · 物理学 2025-05-29 Hongqian Wu , Hongzhong Deng , Jichao Li , Chengxing Wu , Zhuoting Yu , Haidong Zhang , Gaoxin Qi

We study the stochastic dynamics of evolutionary games, and focus on the so-called `stochastic slowdown' effect, previously observed in (Altrock et. al, 2010) for simple evolutionary dynamics. Slowdown here refers to the fact that a…

种群与进化 · 定量生物学 2012-07-30 Philipp M. Altrock , Arne Traulsen , Tobias Galla
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