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In this paper, we study the number of equilibria of the replicator-mutator dynamics for both deterministic and random multi-player two-strategy evolutionary games. For deterministic games, using Decartes' rule of signs, we provide a formula…

动力系统 · 数学 2019-10-14 Manh Hong Duong , The Anh Han

We analyze, using a dynamical systems approach, the replicator dynamics for the asymmetric Hawk-Dove game in which there is a set of four pure strategies with arbitrary payoffs. We give a full account of the equilibrium points and their…

动力系统 · 数学 2017-04-26 Ikjyot Singh Kohli , Michael C. Haslam

The paper contains the attempt to integration of the classical evolutionary game theory based on replicator dynamics and the state based approach of Houston and Mcnamara. In the new approach, individuals have different heritable strategies,…

种群与进化 · 定量生物学 2019-12-03 Krzysztof Argasinski , Ryszard Rudnicki

The finitely repeated Prisoners' Dilemma is a good illustration of the discrepancy between the strategic behaviour suggested by a game-theoretic analysis and the behaviour often observed among human players, where cooperation is maintained…

种群与进化 · 定量生物学 2013-01-10 Kristian Lindgren , Vilhelm Verendel

Evolutionary game theory has impacted many fields of research by providing a mathematical framework for studying the evolution and maintenance of social and moral behaviors. This success is owed in large part to the demonstration that the…

物理与社会 · 物理学 2024-06-03 José F. Fontanari

Replicator dynamics have been widely used in evolutionary game theory to model how strategy frequencies evolve over time in large populations. The so-called payoff matrix encodes the pairwise fitness that each strategy obtains when…

动力系统 · 数学 2025-12-23 Haoyu Yin , Xudong Chen , Bruno Sinopoli

Evolutionary game theory combines game theory and dynamical systems and is customarily adopted to describe evolutionary dynamics in multi-agent systems. In particular, it has been proven to be a successful tool to describe multi-agent…

计算机科学与博弈论 · 计算机科学 2013-04-05 Nicola Gatti , Fabio Panozzo , Marcello Restelli

Controlling evolutionary game-theoretic dynamics is a problem of paramount importance for the systems and control community, with several applications spanning from social science to engineering. Here, we study a population of individuals…

系统与控制 · 电气工程与系统科学 2024-10-22 Lorenzo Zino , Mengbin Ye , Alessandro Rizzo , Giuseppe Carlo Calafiore

Selection in a time-periodic environment is modeled via the two-player replicator dynamics. For sufficiently fast environmental changes, this is reduced to a multi-player replicator dynamics in a constant environment. The two-player terms…

种群与进化 · 定量生物学 2015-05-13 Armen E. Allahverdyan , Chin-Kun Hu

We study adaptive dynamics in games where players abandon the population at a given rate, and are replaced by naive players characterized by a prior distribution over the admitted strategies. We demonstrate how such process leads…

计算机科学与博弈论 · 计算机科学 2013-08-13 Jeppe Juul , Ardeshir Kianercy , Sebastian Bernhardsson , Simone Pigolotti

The problem of multi-agent learning and adaptation has attracted a great deal of attention in recent years. It has been suggested that the dynamics of multi agent learning can be studied using replicator equations from population biology.…

机器学习 · 计算机科学 2011-09-26 Aram Galstyan

In this paper, we consider the replicator-mutator dynamics for pairwise social dilemmas where the payoff entries are random variables. The randomness is incorporated to take into account the uncertainty, which is inevitable in practical…

种群与进化 · 定量生物学 2023-03-30 L. Chen , C. Deng , M. H. Duong , T. A. Han

Game theory deals with strategic interactions among players and evolutionary game dynamics tracks the fate of the players' populations under selection. In this paper, we consider the replicator equation for two-player-two-strategy games…

适应与自组织系统 · 物理学 2021-02-22 Sourabh Mittal , Archan Mukhopadhyay , Sagar Chakraborty

The commonly used accumulated payoff scheme is not invariant with respect to shifts of payoff values when applied locally in degree-inhomogeneous population structures. We propose a suitably modified payoff scheme and we show both formally…

物理与社会 · 物理学 2010-11-24 Leslie Luthi , Marco Tomassini , Enea Pestelacci

We propose a simple model of network co-evolution in a game-dynamical system of interacting agents that play repeated games with their neighbors, and adapt their behaviors and network links based on the outcome of those games. The…

计算机科学与博弈论 · 计算机科学 2011-07-28 Aram Galstyan , Ardeshir Kianercy , Armen Allahverdyan

Understanding the emergence and stability of cooperation in public goods games is important due to its applications in fields such as biology, economics, and social science. However, a gap remains in comprehending how mutations, both…

动力系统 · 数学 2025-04-09 Nataliya A. Balabanova , Manh Hong Duong , The Anh Han

Here we will use results of Cox, Durrett, and Perkins for voter model perturbations to study spatial evolutionary games on $Z^d$, $d\ge 3$ when the interaction kernel is finite range, symmetric, and has covariance matrix $\sigma^2I$. The…

概率论 · 数学 2014-12-30 Rick Durrett

In this work we propose a kinetic formulation for evolutionary game theory for zero sum games when the agents use mixed strategies. We start with a simple adaptive rule, where after an encounter each agent increases the probability of play…

偏微分方程分析 · 数学 2020-06-16 Juan Pablo Pinasco , Mauro Rodriguez-Cartabia , Nicolas Saintier

In this paper we characterise the long-run behaviour of the replicator dynamic in zero-sum games (symmetric or non-symmetric). Specifically, we prove that every zero-sum game possesses a unique global replicator attractor, which we then…

计算机科学与博弈论 · 计算机科学 2024-02-06 Oliver Biggar , Iman Shames

We consider a version of the ultimatum game which simultaneously combines reactive and Darwinian aspects with offers in [0,1]. By reactive aspects, we consider the effects that lead the player to change their offer given the previous…

物理与社会 · 物理学 2019-10-02 Roberto da Silva , Pablo Valverde , Luis C. Lamb
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