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We discuss stochastic dynamics of populations of individuals playing games. Our models possess two evolutionarily stable strategies: an efficient one, where a population is in a state with the maximal payoff (fitness) and a risk-dominant…

种群与进化 · 定量生物学 2007-05-23 Jacek Miekisz

In the evolving digital landscape, it is crucial to study the dynamics of cyberattacks and defences. This study uses an Evolutionary Game Theory (EGT) framework to investigate the evolutionary dynamics of attacks and defences in cyberspace.…

计算机科学与博弈论 · 计算机科学 2025-05-27 Adeela Bashir , Zia Ush Shamszaman , Zhao Song , The Anh Han

Evolutionary graph theory (EGT) studies the effect of population structure on evolutionary dynamics. The vertices of the graph represent the $N$ individuals. The edges denote interactions for competitive replacement. Two standard update…

种群与进化 · 定量生物学 2026-04-01 David A. Brewster , Yichen Huang , Michael Mitzenmacher , Martin A. Nowak

The serious games between humans and AI have only just begun. Evolutionary Game Theory (EGT) models the competitive and cooperative strategies of biological entities. EGT could help predict the potential evolutionary equilibrium of humans…

人工智能 · 计算机科学 2025-05-23 Nandini Doreswamy , Louise Horstmanshof

Evolutionary game dynamics describes the spreading of successful strategies in a population of reproducing individuals. Typically, the microscopic definition of strategy spreading is stochastic, such that the dynamics becomes deterministic…

种群与进化 · 定量生物学 2015-05-13 Philipp M. Altrock , Arne Traulsen

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

Evolutionary game theory has been successfully used to investigate the dynamics of systems, in which many entities have competitive interactions. From a physics point of view, it is interesting to study conditions under which a coordination…

物理与社会 · 物理学 2015-05-14 Dirk Helbing , Anders Johansson

Evolutionary game theory has proven to be an elegant framework providing many fruitful insights in population dynamics and human behaviour. Here, we focus on the aspect of behavioural plasticity and its effect on the evolution of…

种群与进化 · 定量生物学 2020-09-29 M. Kleshnina , K. Kaveh , K. Chatterjee

A common assumption employed in most previous works on evolutionary game dynamics is that every individual player has full knowledge about and full access to the complete set of available strategies. In realistic social, economical, and…

适应与自组织系统 · 物理学 2018-11-14 Jun-Jie Jiang , Yu-Zhong Chen , Zi-Gang Huang , Ying-Cheng Lai

We study the emergency of mutual cooperation in evolutionary prisoner's dilemma games when the players are located on a square lattice. The players can choose one of the three strategies: cooperation (C), defection (D) or "tit for tat" (T),…

统计力学 · 物理学 2015-06-24 Gyorgy Szabo , Tibor Antal , Peter Szabo , Michel Droz

Many socio-economic and biological processes can be modeled as systems of interacting individuals. The behaviour of such systems can be often described within game-theoretic models. In these lecture notes, we introduce fundamental concepts…

种群与进化 · 定量生物学 2013-05-30 Jacek Miekisz

We conducted a laboratory experiment involving human subjects to test the theoretical hypothesis that equilibrium selection can be impacted by manipulating the games dynamics process, by using modern control theory. Our findings indicate…

综合经济学 · 经济学 2024-11-12 Wang Zhijian , Shan Lixia , Yao Qinmei , Wang Yijia

We study the evolutionary robustness of strategies in infinitely repeated prisoners' dilemma games in which players make mistakes with a small probability and are patient. The evolutionary process we consider is given by the replicator…

动力系统 · 数学 2020-08-03 Pedro Dal Bó , Enrique R. Pujals

Many mathematical frameworks of evolutionary game dynamics assume that the total population size is constant and that selection affects only the relative frequency of strategies. Here, we consider evolutionary game dynamics in an extended…

种群与进化 · 定量生物学 2018-02-16 Alex McAvoy , Nicolas Fraiman , Christoph Hauert , John Wakeley , Martin A. Nowak

We discuss how to use evolutionary game theory (EGT) as a framework for studying how cultural dynamics and structural properties can influence the evolution of norms and behaviors within a society. We provide a brief tutorial on how EGT…

计算机与社会 · 计算机科学 2017-03-20 Soham De , Dana S. Nau , Michele J. Gelfand

The study of the evolution of cooperative behaviours --which provide benefits to others-- and altruism --which provides benefits to others at a cost to oneself-- has been on the core of the evolutionary game theoretical framework since its…

种群与进化 · 定量生物学 2013-12-13 Rubén J. Requejo-Martínez

Evolutionary prisoner's dilemma games are studied with players located on square lattice and random regular graphs defining four neighbors for each one. The players follow one of the three strategies: tit-for-tat, unconditional cooperation,…

物理与社会 · 物理学 2009-11-13 Attila Szolnoki , Matjaz Perc , Gyorgy Szabo

We study a complementarity game as a systematic tool for the investigation of the interplay between individual optimization and population effects and for the comparison of different strategy and learning schemes. The game randomly pairs…

种群与进化 · 定量生物学 2010-11-17 Juergen Jost , Wei Li

Dynamical mechanisms that can stabilize the coexistence or diversity in biology are generally of fundamental interest. In contrast to many two-strategy evolutionary games, games with three strategies and cyclic dominance like the…

种群与进化 · 定量生物学 2010-03-15 Markus Schütt , Jens Christian Claussen

We propose a model for evolutionary game dynamics with three strategies $A$, $B$ and $C$ in the framework of Moran process in finite populations. The model can be described as a stochastic process which can be numerically computed from a…

物理与社会 · 物理学 2007-05-23 Jing Wang , Feng Fu , Long Wang , Guangming Xie
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