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dc.contributor.authorKlyubin, A.S.
dc.contributor.authorPolani, D.
dc.contributor.authorNehaniv, C.L.
dc.contributor.editorZebulum, RS
dc.contributor.editorGwaltney, D
dc.contributor.editorHornby, G
dc.contributor.editorKeymeulen, D
dc.contributor.editorLohn, F
dc.contributor.editorStoica, A
dc.date.accessioned2011-10-27T16:01:11Z
dc.date.available2011-10-27T16:01:11Z
dc.date.issued2004
dc.identifier.citationKlyubin , A S , Polani , D & Nehaniv , C L 2004 , Organization of the information flow in the perception-action loop of evolved agents . in RS Zebulum , D Gwaltney , G Hornby , D Keymeulen , F Lohn & A Stoica (eds) , Procs of the 2004 NASA/DOD Conf on Evolvable Hardware (EH'04) . Institute of Electrical and Electronics Engineers (IEEE) , pp. 177-180 , 6th NASA/DoD Conference on Evolvable Hardware , Seattle , 24/06/04 .
dc.identifier.citationconference
dc.identifier.isbn0-7695-2145-2
dc.identifier.otherPURE: 432847
dc.identifier.otherPURE UUID: b77c53c2-d6ac-4418-bf32-f5b99d1089ea
dc.identifier.otherdspace: 2299/934
dc.identifier.otherWOS: 000222965600026
dc.identifier.otherScopus: 11244349052
dc.identifier.otherORCID: /0000-0002-3233-5847/work/86098158
dc.identifier.urihttp://hdl.handle.net/2299/6836
dc.description.abstractSensor evolution in nature aims at improving the acquisition of information from the environment and is intimately related with selection pressure towards adaptivity and robustness. Recent work in the area aims at studying the perception-action loop in a formalized information-theoretic manner This paves the way towards a principled and general understanding of the mechanisms guiding the evolution of sensors in nature and provides insights into the design of mechanisms of artificial sensor evolution. In our paper we study the perception-action loop of agents. We evolve finite-state automata as agent controllers to solve an information acquisition task in a simple virtual world and study how the information flow is organized by evolution. Our analysis of the evolved automata and the information flow provides insight into how evolution organizes sensoric information acquisition, memory, processing and action selection. In addition, the results are compared to ideal information extraction schemes following from the Information Bottleneck principle.en
dc.format.extent4
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProcs of the 2004 NASA/DOD Conf on Evolvable Hardware (EH'04)
dc.titleOrganization of the information flow in the perception-action loop of evolved agentsen
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionCentre for Future Societies Research
rioxxterms.versionVoR
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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