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A bacterial-based algorithm to simulate complex adaptive systems

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A bacterial-based algorithm to simulate complex adaptive systems

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dc.contributor.author González Rodríguez, Diego
dc.contributor.author Hernandez-Carrion, J.R.
dc.date.accessioned 2015-06-12T07:02:46Z
dc.date.available 2015-06-12T07:02:46Z
dc.date.issued 2014
dc.identifier.citation GGonzalez Rodriguez, Diego Hernandez Carrion, J.R. 2014 A bacterial-based algorithm to simulate complex adaptive systems Lecture Notes in Computer Science 8575 250 259
dc.identifier.uri http://hdl.handle.net/10550/44333
dc.description.abstract Following a bacterial-based modeling approach, we want to model and analyze the impact of both decentralization and heterogeneity on group behavior and collective learning. Inspired by bacterial conjugation, we have defined an artificial society in which agents' strategies adapt to changes in resources location, allowing migration and survival in a dynamic sugarscape-like scenario. To study the impact of these variables we have simulated a scenario in which resources are limited and localized. We also have defined three constraints in genetic information processing (inhibition of plasmid conjugation, inhibition of plasmid reproduction and inhibition of plasmid mutation). Our results affirmed the hypothesis that efficiency of group adaptation to dynamic environments is better when societies are varied and distributed than when they are homogeneous and centralized.
dc.language.iso eng
dc.relation.ispartof Lecture Notes in Computer Science, 2014, vol. 8575, p. 250-259
dc.subject Economia
dc.title A bacterial-based algorithm to simulate complex adaptive systems
dc.type journal article es_ES
dc.date.updated 2015-06-12T07:02:47Z
dc.identifier.idgrec 103479
dc.rights.accessRights open access es_ES

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