Inferring to individual diversity promotes the cooperation in the spatial prisoner’s dilemma game

Ding, Shuai; Wang, Juan; Ruan, Sumei; Xia, Chengyi

doi:10.1016/j.chaos.2014.12.014

Cited by 15 publications

(4 citation statements)

References 42 publications

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“…In the absence of third-party information, ignoring dyadic interaction (in which actors can choose different actions against different partners) in network experiments makes perfect sense, as in that case interactions in different dyads are strategically independent and theoretically not different from isolated encounters. Generally, this research is motivated by evolutionary models such as Nowak and May [ 31 ] and others [ 32 , 33 ], which predict that local, structured interaction (as opposed to random interaction) promotes cooperation via imitation of successful partners. Other models predict that certain network structures in particular, such as small-world networks [ 34 ], facilitate cooperation.…”

Section: Related Experimental Literaturementioning

confidence: 99%

Reputation Effects in Social Networks Do Not Promote Cooperation: An Experimental Test of the Raub & Weesie Model

et al. 2016

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Despite the popularity of the notion that social cohesion in the form of dense social networks promotes cooperation in Prisoner’s Dilemmas through reputation, very little experimental evidence for this claim exists. We address this issue by testing hypotheses from one of the few rigorous game-theoretic models on this topic, the Raub & Weesie model, in two incentivized lab experiments. In the experiments, 156 subjects played repeated two-person PDs in groups of six. In the “atomized interactions” condition, subjects were only informed about the outcomes of their own interactions, while in the “embedded” condition, subjects were informed about the outcomes of all interactions in their group, allowing for reputation effects. The design of the experiments followed the specification of the RW model as closely as possible. For those aspects of the model that had to be modified to allow practical implementation in an experiment, we present additional analyses that show that these modifications do not affect the predictions. Contrary to expectations, we do not find that cooperation is higher in the embedded condition than in the atomized interaction. Instead, our results are consistent with an interpretation of the RW model that includes random noise, or with learning models of cooperation in networks.

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Section: Related Experimental Literaturementioning

confidence: 99%

Reputation Effects in Social Networks Do Not Promote Cooperation: An Experimental Test of the Raub & Weesie Model

et al. 2016

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“…Work by Nowak and May [21] showed that a simple spatial PDG setting can produce remarkably complex and indefinitely changing fractal-like patterns of behavior. Later on, much effort has been devoted to the evolutionary games on different topologies of regular or complex networks [23][24][25][26][27][28][29]. Our model is based on a regular lattice where each agent is surrounded by eight neighboring agents (i.e.…”

Section: Related Workmentioning

confidence: 99%

Simulating the Impact of Cooperation and Management Strategies on Stress and Economic Performance

Daňa¹,

Kopeček²,

Ošlejšek³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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In this paper, we study the impact of the management evaluation strategies that are aimed at achieving a balance between rewarding the cooperative behavior of employees and their economic performance. We developed a model in the NetLogo simulation environment that incorporates many socioeconomic aspects such as the stress, effort, and productivity of employees as well as insights into managing cooperativeness and the performance of individual workers. We conducted a series of simulations, each representing a 10-year lifespan of an organization, and the results reveal that organizations achieve the highest performance when management prefers to reward the cooperative behavior of employees instead of performance. The detailed results are provided and discussed in the paper, as are the future directions that the research could take as well as possible extensions of the model presented.

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“…However, this method, due to being based on commodity pricing using knowledge of the market methods and other service provider and market movement strategies, is more considered as a static pricing strategy than a dynamic resource allocation method. The auction method, due to using a parametric and fair approach offering a win-win result to both sides, has been considered by many researchers [ 64 , 65 , 66 , 67 , 68 ]. In this study, we try to provide a new model based on auction or a combination of auction with other methods, by investigating and comparing different models in this area and along with eliminating their deficiencies.…”

Section: Related Workmentioning

confidence: 99%

Efficient Nash Equilibrium Resource Allocation Based on Game Theory Mechanism in Cloud Computing by Using Auction

Nezarat

Dastghaibifard

2015

PLoS ONE

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One of the most complex issues in the cloud computing environment is the problem of resource allocation so that, on one hand, the cloud provider expects the most profitability and, on the other hand, users also expect to have the best resources at their disposal considering the budget constraints and time. In most previous work conducted, heuristic and evolutionary approaches have been used to solve this problem. Nevertheless, since the nature of this environment is based on economic methods, using such methods can decrease response time and reducing the complexity of the problem. In this paper, an auction-based method is proposed which determines the auction winner by applying game theory mechanism and holding a repetitive game with incomplete information in a non-cooperative environment. In this method, users calculate suitable price bid with their objective function during several round and repetitions and send it to the auctioneer; and the auctioneer chooses the winning player based the suggested utility function. In the proposed method, the end point of the game is the Nash equilibrium point where players are no longer inclined to alter their bid for that resource and the final bid also satisfies the auctioneer’s utility function. To prove the response space convexity, the Lagrange method is used and the proposed model is simulated in the cloudsim and the results are compared with previous work. At the end, it is concluded that this method converges to a response in a shorter time, provides the lowest service level agreement violations and the most utility to the provider.

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Inferring to individual diversity promotes the cooperation in the spatial prisoner’s dilemma game

Cited by 15 publications

References 42 publications

Reputation Effects in Social Networks Do Not Promote Cooperation: An Experimental Test of the Raub & Weesie Model

Reputation Effects in Social Networks Do Not Promote Cooperation: An Experimental Test of the Raub & Weesie Model

Simulating the Impact of Cooperation and Management Strategies on Stress and Economic Performance

Efficient Nash Equilibrium Resource Allocation Based on Game Theory Mechanism in Cloud Computing by Using Auction

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