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Coordination is often critical to forming prosocial behaviors -- behaviors that increase the overall sum of rewards received by all agents in a multi-agent game. However, state of the art reinforcement learning algorithms often suffer from…

多智能体系统 · 计算机科学 2021-05-17 Woodrow Z. Wang , Mark Beliaev , Erdem Bıyık , Daniel A. Lazar , Ramtin Pedarsani , Dorsa Sadigh

Cooperative behavior in real social dilemmas is often perceived as a phenomenon emerging from norms and punishment. To overcome this paradigm, we highlight the interplay between the influence of social networks on individuals, and the…

物理与社会 · 物理学 2018-07-23 Dario Madeo , Chiara Mocenni

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

There is a broad recognition that commitment-based mechanisms can promote coordination and cooperative behaviours in both biological populations and self-organised multi-agent systems by making individuals' intentions explicit prior to…

计算机科学与博弈论 · 计算机科学 2025-09-15 Ndidi Bianca Ogbo , Zhao Song , The Anh Han

Combined prosocial incentives, integrating reward for cooperators and punishment for defectors, are effective tools to promote cooperation among competing agents in population games. Existing research concentrated on how to adjust reward or…

最优化与控制 · 数学 2023-12-06 Shengxian Wang , Ming Cao , Xiaojie Chen

We focus on how individual behavior that complies with social norms interferes with performance-based incentive mechanisms in organizations with multiple distributed decision-making agents. We model social norms to emerge from interactions…

综合经济学 · 经济学 2021-02-25 Ravshanbek Khodzhimatov , Stephan Leitner , Friederike Wall

The emergence of cooperation among self-interested agents has been a key concern of the multi-agent systems community for decades. With the increased importance of network-mediated interaction, researchers have shifted the attention on the…

物理与社会 · 物理学 2022-02-09 Jacques Bara , Paolo Turrini , Giulia Andrighetto

The significance of network structures in promoting group cooperation within social dilemmas has been widely recognized. Prior studies attribute this facilitation to the assortment of strategies driven by spatial interactions. Although…

多智能体系统 · 计算机科学 2024-08-20 Tianyu Ren , Xiao-Jun Zeng

Recent research has identified interactions between networks as crucial for the outcome of evolutionary games taking place on them. While the consensus is that interdependence does promote cooperation by means of organizational complexity…

物理与社会 · 物理学 2013-08-23 Zhen Wang , Attila Szolnoki , Matjaz Perc

We examine behavior in an experimental collaboration game that incorporates endogenous network formation. The environment is modeled as a generalization of the voluntary contributions mechanism. By varying the information structure in a…

综合经济学 · 经济学 2024-04-17 Philip Solimine , Luke Boosey

More often than not, bad decisions are bad regardless of where and when they are made. Information sharing might thus be utilized to mitigate them. Here we show that sharing the information about strategy choice between players residing on…

物理与社会 · 物理学 2013-08-16 Attila Szolnoki , Matjaz Perc

Prosocial behaviours have been extensively studied across multiple disciplines. Cooperation, requiring a personal cost for collective benefits, is widespread in nature and human society, having been explained through mechanisms such as kin…

种群与进化 · 定量生物学 2025-07-08 M. H. Duong , C. M. Durbac , T. A. Han

The lack of cooperation can easily result in inequality among members of a society, which provides an increasing gap between individual incomes. To tackle this issue, we introduce an incentive mechanism based on individual strategies and…

物理与社会 · 物理学 2025-01-24 Luo-Luo Jiang , Yi-Ming Li , Wen-Jing Li , Attila Szolnoki

Synergies between evolutionary game theory and statistical physics have significantly improved our understanding of public cooperation in structured populations. Multiplex networks, in particular, provide the theoretical framework within…

物理与社会 · 物理学 2017-07-13 Federico Battiston , Matjaz Perc , Vito Latora

Understanding the evolution of human social systems requires flexible formalisms for the emergence of institutions. Although game theory is normally used to model interactions individually, larger spaces of games can be helpful for modeling…

物理与社会 · 物理学 2021-08-12 Seth Frey , Curtis Atkisson

Situations of conflict giving rise to social dilemmas are widespread in society and game theory is one major way in which they can be investigated. Starting from the observation that individuals in society interact through networks of…

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

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

We consider a dynamic social network model in which agents play repeated games in pairings determined by a stochastically evolving social network. Individual agents begin to interact at random, with the interactions modeled as games. The…

概率论 · 数学 2007-05-23 Brian Skyrms , Robin Pemantle

Human interactions are influenced by emotions, temperament, and affection, often conflicting with individuals' underlying preferences. Without explicit knowledge of those preferences, judging whether behaviour is appropriate becomes…

计算机科学与博弈论 · 计算机科学 2025-11-05 Victor Villin , Christos Dimitrakakis

The application of incentives, such as reward and punishment, is a frequently applied way for promoting cooperation among interacting individuals in structured populations. However, how to properly use the incentives is still a challenging…

计算机科学与博弈论 · 计算机科学 2024-04-24 Shengxian Wang , Xiaojie Chen , Zhilong Xiao , Attila Szolnoki , Vítor V. Vasconcelos
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