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dc.contributor.authorQuick, T.
dc.contributor.authorNehaniv, C.L.
dc.contributor.authorDautenhahn, K.
dc.contributor.authorRoberts, G.
dc.identifier.citationQuick , T , Nehaniv , C L , Dautenhahn , K & Roberts , G 2003 , ' Evolving Embodied Genetic Regulatory Network-driven Control Systems ' , Lecture Notes in Computer Science , vol. 2003 , pp. 266-277 .
dc.identifier.otherPURE: 97574
dc.identifier.otherPURE UUID: 85e589c7-8fb7-4257-89ac-ba3c72ce2769
dc.identifier.otherdspace: 2299/4302
dc.identifier.otherScopus: 7444220483
dc.description“The original publication is available at”. Copyright Springer. [Full text of this article is not available in the UHRA]
dc.description.abstractWe demonstrate the evolution of simple embodied Genetic Regulatory Networks (GRNs) as real-time control systems for robotic and software-based embodied Artificial Organisms, and present results from two experimental test-beds: homeostatic temperature regulation in an abstract software environment, and phototactic robot behaviour maximising exposure to light. The GRN controllers are continually coupled to the organisms environments throughout their lifetimes, and constitute the primary basis for the organisms behaviour from moment to moment. The environment in which the organisms are embodied is shown to play a significant role in the dynamics of the GRNs, and the behaviour of the organisms.en
dc.relation.ispartofLecture Notes in Computer Science
dc.titleEvolving Embodied Genetic Regulatory Network-driven Control Systemsen
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
rioxxterms.typeJournal Article/Review

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