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- W2022708403 abstract "This work presents the results of many multiagent simulations of the n-Player Prisoner's Dilemma, using two different languages to represent the agents' strategies: finite automata and adaptive automata. We consider that a comparative analysis of the co-evolution of strategies using these two languages may be seen as a framework to analyze the role of the complexity of the strategy representation language on the individual and global results of the agents. Hence, the numerical results of the simulation were analyzed in order to answer two guestions: (i) does the ability to use more complex strategies lead to a different outcome for the society? (ii) How does this ability affect the sustainability of the cooperation in a society?" @default.
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- W2022708403 date "2011-02-01" @default.
- W2022708403 modified "2023-09-25" @default.
- W2022708403 title "Studies on the effect of the expressiveness of two strategy representation languages for the iterated n-player prisoner's dilemma" @default.
- W2022708403 doi "https://doi.org/10.3166/ria.25.69-82" @default.
- W2022708403 hasPublicationYear "2011" @default.
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