Evolution of cooperation and trust in an N-player social dilemma game with tags for migration decisions

Dhakal, Sandeep; Chiong, Raymond; Chica, Manuel; Han, The Anh

doi:10.1098/rsos.212000

Cited by 8 publications

(4 citation statements)

References 45 publications

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“…Trust in autonomous systems (hybrid MAS) The actions of intelligent agents, such as chatbots, recommender systems, and virtual assistants are typically not fully transparent to the user (Beldad et al, 2016). Consequently, users take the risk that such agents act in ways opposed to the users' preferences or goals (Dhakal et al, 2022, Luhmann, 1979. It is often argued that people use trust as a cognitive shortcut to reduce the complexity of such interactions.…”

Section: Intention Recognitionmentioning

confidence: 99%

Understanding Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory

Han¹

2022

Preprint

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The mechanisms of emergence and evolution of collective behaviours in dynamical Multi-Agent Systems (MAS) of multiple interacting agents, with diverse behavioral strategies in copresence, have been undergoing mathematical study via Evolutionary Game Theory (EGT). Their systematic study also resorts to agent-based modelling and simulation (ABM) techniques, thus enabling the study of aforesaid mechanisms under a variety of conditions, parameters, and alternative virtual games. This paper summarises some main research directions and challenges tackled in our group, using methods from EGT and ABM. These range from the introduction of cognitive and emotional mechanisms into agents' implementation in an evolving MAS, to the cost-efficient interference for promoting prosocial behaviours in complex networks, to the regulation and governance of AI safety development ecology, and to the equilibrium analysis of random evolutionary multi-player games. This brief aims to sensitize the reader to EGT based issues, results and prospects, which are accruing in importance for the modeling of minds with machines and the engineering of prosocial behaviours in dynamical MAS, with impact on our understanding of the emergence and stability of collective behaviours. In all cases, important open problems in MAS research as viewed or prioritised by the group are described.

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Section: Intention Recognitionmentioning

confidence: 99%

Understanding Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory

Han¹

2022

Preprint

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“…Cooperation, where individuals willingly bear costs to benefit others, is a widespread phenomenon across various biological and social spheres, as highlighted in numerous studies [1][2][3][4][5][6][7]. The subject is so significant that it has been listed as one of the top 25 scientific puzzles by the renowned journal Science in 2005 [8].…”

Section: Introductionmentioning

confidence: 99%

Social norms and cooperation in higher-order networks

Ma,

Jiang,

Fang

et al. 2024

Proc. R. Soc. A.

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Recent research has been focused on understanding how cooperation is fostered through various mechanisms in cognitive settings, particularly through pairwise interactions. However, real-world interactions often extend beyond simple dyads, including multiple cliques with both pairwise and higher-order interactions. These complex interactions influence how individuals perceive and adapt their strategies based on social norms. We here introduce a model that explores the evolution of collective strategies and social norms within a heterogeneous environment, encompassing both dyadic and three-body interactions. We find that social norms play a crucial role in promoting cooperation in comparison with simply imitating the most successful neighbour. We also show that the rise of prosocial norms leads to increased cooperation across various social dilemmas, often resulting in shifts from defective to cooperative behaviour. Additionally, we observe that a moderate level of information privacy helps sustaining prosocial norms and curtails antisocial tendencies, even in situations where mutual defection might seem advantageous. Our research thus offers insights into the evolution of cooperation through the lens of social norm diffusion in higher-order networks.

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“…More precisely, they can collect a higher payoff individually if they defect, but if they all choose this strategy, then they will earn a smaller income than in the scenario when they cooperate. Interestingly, the conclusions are more subtle in terms of summary in the form of a simple message [21][22][23][24][25][26]. In some cases, the players' movement is proved to be harmful, while in other cases, it clearly becomes a mechanism for supporting cooperation.…”

Section: Introductionmentioning

confidence: 99%

When costly migration helps to improve cooperation

Lee

Colin

Szolnoki

2022

Chaos: An Interdisciplinary Journal of Nonlinear Science

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Motion is a typical reaction among animals and humans trying to reach better conditions in a changing world. This aspect has been studied intensively in social dilemmas where competing players’ individual and collective interests are in conflict. Starting from the traditional public goods game model, where players are locally fixed and unconditional cooperators or defectors are present, we introduce two additional strategies through which agents can change their positions of dependence on the local cooperation level. More importantly, these so-called sophisticated players should bear an extra cost to maintain their permanent capacity to evaluate their neighborhood and react accordingly. Hence, four strategies compete, and the most successful one can be imitated by its neighbors. Crucially, the introduction of costly movement has a highly biased consequence on the competing main strategies. In the majority of parameter space, it is harmful to defectors and provides a significantly higher cooperation level when the population is rare. At an intermediate population density, which would be otherwise optimal for a system of immobile players, the presence of mobile actors could be detrimental if the interaction pattern changes slightly, thereby blocking the optimal percolation of information flow. In this parameter space, sophisticated cooperators can also show the co-called Moor effect by first avoiding the harmful vicinity of defectors; they subsequently transform into an immobile cooperator state. Hence, paradoxically, the additional cost of movement could be advantageous to reach a higher general income, especially for a rare population when subgroups would be isolated otherwise.

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Evolution of cooperation and trust in an N-player social dilemma game with tags for migration decisions

Cited by 8 publications

References 45 publications

Understanding Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory

Understanding Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory

Social norms and cooperation in higher-order networks

When costly migration helps to improve cooperation

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