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A Bacterial-Based Algorithm to Simulate Complex Adaptative Systems

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dc.affiliation.dptoUC3M. Departamento de Biblioteconomía y Documentaciónes
dc.contributor.authorGonzález Rodríguez, Diego
dc.contributor.authorHernández Carrión, José Rodolfo
dc.date.accessioned2016-02-26T09:03:24Z
dc.date.available2016-02-26T09:03:24Z
dc.date.issued2014
dc.descriptionPaper presented at the 13th International Conference on Simulation of Adaptive Behavior which took place at Castellón, Spain in 2014, July 22-25.en
dc.description.abstractBacteria have demonstrated an amazing capacity to overcome envi-ronmental changes by collective adaptation through genetic exchanges. Using a distributed communication system and sharing individual strategies, bacteria propagate mutations as innovations that allow them to survive in different envi-ronments. In this paper we present an agent-based model which is inspired by bacterial conjugation of DNA plasmids. In our approach, agents with bounded rationality interact in a common environment guided by local rules, leading to Complex Adaptive Systems that are named 'artificial societies'. We have demonstrated that in a model based on free interactions among autonomous agents, optimal results emerge by incrementing heterogeneity levels and decentralizing communication structures, leading to a global adaptation of the system. This organic approach to model peertopeer dynamics in Complex Adaptive Systems is what we have named ‘bacterial-based algorithms’ because agents exchange strategic information in the same way that bacteria use conjugation and share genome.en
dc.format.extent10
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationGonzález Rodríguez, D., Hernández Carrión, J.R. 2014. A Bacterial-Based Algorithm to Simulate Complex Adaptative Systems. From Animals to Animats 13: 13th International Conference on Simulation of Adaptative Behaviour, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedings, pp. 250-259.en
dc.identifier.doi10.1007/978-3-319-08864-8_24
dc.identifier.isbn978-3-319-08863-1
dc.identifier.isbn978-3-319-08864-8 (online)
dc.identifier.issn0302-9743
dc.identifier.publicationfirstpage250
dc.identifier.publicationlastpage259
dc.identifier.publicationtitleFrom Animals to Animats 13: 13th International Conference on Simulation of Adaptative Behaviour, SAB 2014, Castellón, Spain, July 22-25, 2014. Proceedingsen
dc.identifier.urihttps://hdl.handle.net/10016/22371
dc.language.isoeng
dc.publisherSpringer
dc.relation.eventdateJuly 22-25, 2014en
dc.relation.eventnumber13
dc.relation.eventplaceCastellón, Spain
dc.relation.eventtitleSAB 2014: 13th International Conference on Simulation of Adaptive Behavioren
dc.relation.ispartofhttp://hdl.handle.net/10016/22239
dc.relation.ispartofseriesLecture Notes in Computer Sciences (LNCS)en
dc.relation.ispartofseries8575
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-319-08864-8_24
dc.rights© 2014 Springer
dc.rights.accessRightsopen access
dc.subject.ecienciaBiblioteconomía y Documentaciónes
dc.subject.otherComplexityen
dc.subject.otherArtificial Societyen
dc.subject.otherBacterial-based Algorithmsen
dc.subject.otherP2P Societyen
dc.subject.otherComplex Adaptive Systemsen
dc.subject.otherCASen
dc.titleA Bacterial-Based Algorithm to Simulate Complex Adaptative Systemsen
dc.typeconference proceedings*
dc.type.hasVersionAM*
dspace.entity.typePublication
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