Evolution of global cooperation and ethnocentrism in group-structured populations

Gao, Shiping; Wu, Te; Wang, Long

doi:10.1016/j.physleta.2018.05.020

Cited by 13 publications

(5 citation statements)

References 48 publications

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“…The participants, the strategy set and the payoffs corresponding to various strategies constitute the game. Individuals choose a strategy by evaluating the influences of the surrounding individuals and environmental factors and use adaptive learning from repeated games to maximize their own payoffs and those of the swarm [41,42]. Finally, the swarm coordination mechanism can be determined using Nash equilibrium for the classical game or the evolutionary stable strategy (ESS) for the evolutionary game.…”

Section: Coordination Mechanismmentioning

confidence: 99%

Strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game

Li,

Zhonghong,

Minggang

et al. 2023

J. of Syst. Eng. Electron.

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The key advantage of unmanned swarm operation is its autonomous cooperation. How to improve the proportion of cooperators is one of the key issues of autonomous collaboration in unmanned swarm operations. This work proposes a strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game. It starts with the requirement analysis of autonomous collaboration in unmanned swarm; and an aspiration-driven multiplayer evolutionary game model is established based on the requirement. Then the average abundance function and strategy dominance condition of the model are constructed by theoretical derivation. Furthermore, the evolutionary mechanism of parameter adjustment in swarm cooperation is revealed via simulation, and the influences of the multiplication factor , aspiration level , threshold and other parameters on the strategy dominance conditions were simulated for both linear and threshold public goods games (PGGs) to determine the strategy dominance characteristics; Finally, deliberate proposals are suggested to provide a meaningful exploration in the actual control of unmanned swarm cooperation.

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Section: Coordination Mechanismmentioning

confidence: 99%

Strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game

Li,

Zhonghong,

Minggang

et al. 2023

J. of Syst. Eng. Electron.

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“…Since the cellular automaton was proposed by Von Neumann, it has quickly attracted widespread attention in the research field of swarm systems due to its simple local evolutionary rules and diverse and complex holistic emergent phenomena. The cellular automaton is a network dynamics model with discrete time, space, and state, where there is a causal and interactive relationship between space and time 45 . For a step size, the variable value of each cell is determined by the variable values of its neighbouring cells according to local rules.…”

Section: Related Workmentioning

confidence: 99%

A game-based approach for designing a collaborative evolution mechanism for unmanned swarms on community networks

Pan

et al. 2022

Sci Rep

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Intelligent and coordinated unmanned aerial vehicle (UAV) swarm combat will be the main mode of warfare in the future, and mechanistic design of autonomous cooperation within swarms is the key to enhancing combat effectiveness. Exploration of the essential features and patterns of autonomous collaboration in unmanned swarms has become the focus of scientific research and technological applications, in keeping with the evolving conceptions of the military theatre. However, given the unique attributes of the military and the novelty of the warfare mode of unmanned swarms, few achievements have been reported in the existing research. In this study, we analysed the military requirements of unmanned swarm operations and proposed an analytic framework for autonomous collaboration. Then, a literature review addressing swarm evolution dynamics, game-based swarm collaboration, and collaborative evolution on complex networks was conducted. Next, on the basis of the above work, we designed a community network for unmanned swarm cooperation and constructed a collaborative evolution model based on the multiplayer public goods game (PGG). Furthermore, according to the “network” and “model”, the dynamic evolution process of swarm collaboration was formally deduced. Finally, a simulation was conducted to analyse the influence of relevant parameters (i.e., swarm size, degree distribution, cost, multiplication factor) on the collaborative behaviour of unmanned swarms. According to the simulation results, some reasonable suggestions for collaborative management and control in swarm operation are given, which can provide theoretical reference and decision-making support for the design of coordination mechanisms and improved combat effectiveness in unmanned swarm operation.

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“…In Gao et al (2018), the authors describe a model in which individuals are in groups and interactions may occur between in-group members and across groups. The model does not allow for individuals to have membership in more than one group.…”

Section: Key Related Literaturementioning

confidence: 99%

The implications of shared identity on indirect reciprocity

Bedewi

Whitaker

Colombo

et al. 2020

Journal of Information and Telecommunication

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The ability to sustain indirect reciprocity is an example of collective intelligence. It is increasingly relevant to future technology and autonomous machines that need to function in a coalition. Indirect reciprocity involves providing benefit to others without guaranteeing a future return. The identity through which an agent presents itself to others is fundamental, as this is how the reputation of an agent is considered. In this paper, we examine the sharing of identity between agents, which is an important and frequently overlooked issue when considering indirect reciprocity. We model an agent's identity using traits, which can be shared with other agents, and offer a basis for an agent to change their identity. Through this approach, we determine how shared identity affects cooperation, and the conditions through which cooperation can be sustained. This also helps us to understand how and why behavioural strategies involving identity function are put in place, such as whitewashing. The framework offers the opportunity to assess the interplay between the sharing of traits and the cost, in terms of reduced cooperation and opportunities for shirkers to benefit.

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Evolution of global cooperation and ethnocentrism in group-structured populations

Cited by 13 publications

References 48 publications

Strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game

Strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game

A game-based approach for designing a collaborative evolution mechanism for unmanned swarms on community networks

The implications of shared identity on indirect reciprocity

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