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Bounded rationality in agent-based models: experiments with evolutionary programs / S.M. Manson in International journal of geographical information science IJGIS, vol 20 n° 9 (october 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 9 (october 2006) . - pp 991 - 1012 Titre : Bounded rationality in agent-based models: experiments with evolutionary programs Type de document : Article/Communication Auteurs : S.M. Manson, Auteur Année de publication : 2006 Article en page(s) : pp 991 - 1012 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] raisonnement spatial [Termes IGN] système multi-agents Résumé : (Auteur) This paper examines the use of evolutionary programming in agent-based modelling to implement the theory of bounded rationality. Evolutionary programming, which draws on Darwinian analogues of computing to create software programs, is a readily accepted means for solving complex computational problems. Evolutionary programming is also increasingly used to develop problem-solving strategies in accordance with bounded rationality, which addresses features of human decision-making such as cognitive limits, learning, and innovation. There remain many unanswered methodological and conceptual questions about the linkages between bounded rationality and evolutionary programming. This paper reports on how changing parameters in one variant of evolutionary programming, genetic programming, affects the representation of bounded rationality in software agents. Of particular interest are: the ability of agents to solve problems; limits to the complexity of agent strategies; the computational resources with which agents create, maintain, or expand strategies; and the extent to which agents balance exploration of new strategies and exploitation of old strategies. Copyright Taylor & Francis Numéro de notice : A2006-421 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810600830566 En ligne : https://doi.org/10.1080/13658810600830566 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28145 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-06091	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-06092	RAB	Revue	Centre de documentation	En réserve L003	Disponible