中文
相关论文

相关论文: Evolutionary Dilemmas in a Social Network

200 篇论文

Various theoretical and empirical studies have accounted for why humans cooperate in competitive environments. Although prior work has revealed that network structure and multiplex interactions can promote cooperation, most theory assumes…

物理与社会 · 物理学 2026-01-05 Jnanajyoti Bhaumik , Naoki Masuda

The world in which we are living is a huge network of networks and should be described by interdependent networks. The interdependence between networks significantly affects the evolutionary dynamics of cooperation on them. Meanwhile, due…

物理与社会 · 物理学 2015-06-19 Baokui Wang , Zhenhua Pei , Long Wang

We explore the Hawk-Dove game on networks with topologies ranging from regular lattices to random graphs with small-world networks in between. This is done by means of computer simulations using several update rules for the population…

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

In human societies the probability of strategy adoption from a given person may be affected by the personal features. Now we investigate how an artificially imposed restricted ability to reproduce, overruling ones fitness, affects an…

种群与进化 · 定量生物学 2008-04-10 A. Szolnoki , M. Perc , G. Szabo

Punishment and partner switching are two well-studied mechanisms that support the evolution of cooperation. Observation of human behaviour suggests that the extent to which punishment is adopted depends on the usage of alternative…

物理与社会 · 物理学 2018-04-26 Hirofumi Takesue

We consider the prisoner's dilemma being played repeatedly on a dynamic network, where agents may choose their actions as well as their co-players. This leads to co-evolution of network structure and strategy patterns of the players.…

物理与社会 · 物理学 2007-06-26 Christoly Biely , Klaus Dragosits , Stefan Thurner

Evolution of cooperation in the prisoner's dilemma game is studied where initially all players are linked via a regular graph, having four neighbors each. Simultaneously with the strategy evolution, players are allowed to make new…

物理与社会 · 物理学 2009-03-27 Attila Szolnoki , Matjaz Perc , Zsuzsa Danku

Partner selection is an important process in many social interactions, permitting individuals to decrease the risks associated with cooperation. In large populations, defectors may escape punishment by roving from partner to partner, but…

adap-org · 物理学 2008-02-03 Dan Ashlock , Mark D. Smucker , E. Ann Stanley , Leigh Tesfatsion

Here we study the effects of adopting different strategies against different opponent instead of adopting the same strategy against all of them in the prisoner dilemma structured in well-mixed populations. We consider an evolutionary…

物理与社会 · 物理学 2015-05-14 Lucas Wardil , Jafferson K. L. da Silva

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

Synchronization, cooperation, and chaos are ubiquitous phenomena in nature. In a population composed of many distinct groups of individuals playing the prisoner's dilemma game, there exists a migration dilemma: No cooperator would migrate…

种群与进化 · 定量生物学 2021-02-22 Shubhadeep Sadhukhan , Rohitashwa Chattopadhyay , Sagar Chakraborty

We study an evolutionary version of the Prisoner's Dilemma game, played by agents placed in a small-world network. Agents are able to change their strategy, imitating that of the most successful neighbor. We observe that different…

适应与自组织系统 · 物理学 2009-10-31 Guillermo Abramson , Marcelo Kuperman

We consider the coupled dynamics of the adaption of network structure and the evolution of strategies played by individuals occupying the network vertices. We propose a computational model in which each agent plays a $n$-round Prisoner's…

物理与社会 · 物理学 2007-11-05 Feng Fu , Xiaojie Chen , Lianghuan Liu , Long Wang

A generic property of biological, social and economical networks is their ability to evolve in time, creating and suppressing interactions. We approach this issue within the framework of an adaptive network of agents playing a Prisoner's…

适应与自组织系统 · 物理学 2014-10-20 Martin G. Zimmermann , Victor M. Eguiluz , Maxi San Miguel

The paper studies the emergence and stability of cooperative behavior in populations of agents who interact among themselves in Prisoner's Dilemma games and who are allowed to choose their partners. The population is then subject to…

无序系统与神经网络 · 物理学 2007-05-23 Pawel Sobkowicz

Cooperation lies at the foundations of human societies, yet why people cooperate remains a conundrum. The issue, known as network reciprocity, of whether population structure can foster cooperative behavior in social dilemmas has been…

物理与社会 · 物理学 2016-09-23 Giulio Cimini , Angel Sánchez

Governments and enterprises strongly rely on incentives to generate favorable outcomes from social and strategic interactions between individuals. The incentives are usually modeled by payoffs in evolutionary games, such as the prisoner's…

物理与社会 · 物理学 2018-05-14 Kaj-Kolja Kleineberg , Dirk Helbing

Recent experimental results with humans involved in social dilemma games suggest that cooperation may be a contagious phenomenon and that the selection pressure operating on evolutionary dynamics (i.e., mimicry) is relatively weak. I…

物理与社会 · 物理学 2012-10-02 Naoki Masuda

Models of cooperation grounded on social networks and on the ability of individuals to choose actions and partners aim to describe human social behavior. Extensive computer simulations of these models give important insight in the social…

物理与社会 · 物理学 2007-05-23 Victor M. Eguluz , Martin G. Zimmermann , Camilo J. Cela-Conde , Maxi San Miguel

The prisoner's dilemma has long been considered the paradigm for studying the emergence of cooperation among selfish individuals. Because of its importance, it has been studied through computer experiments as well as in the laboratory and…

chao-dyn · 物理学 2009-10-22 Bernardo A. Huberman , Natalie S. Glance