%0 Journal Article %1 Guerberoff2011 %A Guerberoff, Inácio %A Queiroz, Diego %A Sichman, Jaime Simão %D 2011 %J Revue d'intelligence artificielle %K game_theory evolutionary_games multiagent_simulation finite_automata myown %N 1 %P 69--82 %R 10.3166/RIA.25.69-82 %T Studies on the effect of the expressiveness of two strategy representation languages for the iterated n-players prisoner's dilemma %U http://ria.revuesonline.com/article.jsp?articleId=15967 %V 25 %X 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 coevolution 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 questions: (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?

@article{Guerberoff2011, 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 coevolution 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 questions: (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?}, added-at = {2010-11-23T13:52:31.000+0100}, author = {Guerberoff, In{\'a}cio and Queiroz, Diego and Sichman, Jaime Sim{\~a}o}, biburl = {https://www.bibsonomy.org/bibtex/2a6673edd6e2c4d1d9c4f34b8a81a91ea/diego}, crossref = {Amblard2011}, doi = {10.3166/RIA.25.69-82}, interhash = {5d59790d2224e6cad43e8f340f252020}, intrahash = {a6673edd6e2c4d1d9c4f34b8a81a91ea}, journal = {Revue d'intelligence artificielle}, keywords = {game_theory evolutionary_games multiagent_simulation finite_automata myown}, language = {english}, month = {Janvier-F{\'e}vrier}, number = 1, pages = {69--82}, timestamp = {2011-05-12T22:29:10.000+0200}, title = {Studies on the effect of the expressiveness of two strategy representation languages for the iterated n-players prisoner's dilemma}, url = {http://ria.revuesonline.com/article.jsp?articleId=15967}, volume = 25, year = 2011 }