On the Structural Robustness of Evolutionary Models of Cooperation
نویسندگان
چکیده
This paper studies the structural robustness of evolutionary models of cooperation, i.e. their sensitivity to small structural changes. To do this, we focus on the Prisoner’s Dilemma game and on the set of stochastic strategies that are conditioned on the last action of the player’s opponent. Strategies such as Tit-For-Tat (TFT) and Always-Defect (ALLD) are particular and classical cases within this framework; here we study their potential appearance and their evolutionary robustness, as well as the impact of small changes in the model parameters on their evolutionary dynamics. Our results show that the type of strategies that are likely to emerge and be sustained in evolutionary contexts is strongly dependent on assumptions that traditionally have been thought to be unimportant or secondary (number of players, mutation-rate, population structure...). We find that ALLD-like strategies tend to be the most successful in most environments, and we also discuss the conditions that favor the appearance of TFTlike strategies and cooperation.
منابع مشابه
The Lobbying, Bribery, and Compliance: An Evolutionary Model of Social Factors
Abstract Connecting to rule-makers in order to set favorable rules (lobbying) or paying government executives to bend the current rule (bribing) are the two main strategies for influencing government. This study in an evolutionary game model explain why bribing may become widespread while other states like compliance and cooperative lobbying are Pareto superior. The theoretical model is used ...
متن کاملDamped DQE Model Updating of a Three-Story Frame Using Experimental Data
In this paper, following a two-stage methodology, the differential quadrature element (DQE) model of a three-story frame structure is updated for the vibration analysis. In the first stage, the mass and stiffness matrices are updated using the experimental natural frequencies. Then, having the updated mass and stiffness matrices, the structural damping matrix is updated to minimize the error be...
متن کاملInvestigations of Wilson's and Traulsen's Group Selection Models in Evolutionary Computation
Evolving cooperation by evolutionary algorithms is impossible without introducing extra mechanisms. Group selection theory in biology is a good candidate as it explains the evolution of cooperation in nature. Two biological models, Wilson’s trait group selection model and Traulsen’s group selection model are investigated and compared in evolutionary computation. Three evolutionary algorithms we...
متن کاملEvent-driven and Attribute-driven Robustness
Over five decades have passed since the first wave of robust optimization studies conducted by Soyster and Falk. It is outstanding that real-life applications of robust optimization are still swept aside; there is much more potential for investigating the exact nature of uncertainties to obtain intelligent robust models. For this purpose, in this study, we investigate a more refined description...
متن کاملOptimization of sediment rating curve coefficients using evolutionary algorithms and unsupervised artificial neural network
Sediment rating curve (SRC) is a conventional and a common regression model in estimating suspended sediment load (SSL) of flow discharge. However, in most cases the data log-transformation in SRC models causing a bias which underestimates SSL prediction. In this study, using the daily stream flow and suspended sediment load data from Shalman hydrometric station on Shalmanroud River, Guilan Pro...
متن کامل