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Evolution of visual...
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Biro, ZoltanHögskolan i Skövde,Institutionen för datavetenskap
(författare)
Evolution of visually-guided approach behaviour in recurrent artificial neural network robot controllers
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Skövde :University of Skövde,1998
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LIBRIS-ID:oai:DiVA.org:his-1178
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https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1178URI
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Språk:engelska
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Sammanfattning på:engelska &engelska
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Ämneskategori:vet swepub-contenttype
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Ämneskategori:rap swepub-publicationtype
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IDA Technical Reports ;HS-IDA-TR-98-003
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HS-IDA-TR-98-003, Institutionen för datavetenskap
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Analysis of internal structures of embodied and situated agents may provide insights into the mechanisms underlying adaptive behaviour. This paper is concerned with the evolution and analysis of visually-guided approach behaviour in a simulated robotic agent controlled by a recurrent artificial neural network, whose connection weights have been evolved using evolutionary algorithms. Analysis of the evolved behaviours and their network-internal mechanisms reveals a behavioural structure and organization resembling a Brooksian subsumption architecture. The task decomposition, as well as the resulting individual behaviours and their integration, however, are realized as network-internal state space dynamics, evolved in the course of agent-environment interaction, i.e. with a minimum of designer intervention.
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Annotation: In Pfeifer, Blumberg, Meyer, and Wilson (Eds.) From animals to animats 5-Proceedings of the Fifth International Conference on Simulation of Adaptive Behavior. Cambridge, MA: MIT Press.
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Ziemke, TomHögskolan i Skövde,Institutionen för datavetenskap(Swepub:his)ziet
(författare)
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Högskolan i SkövdeInstitutionen för datavetenskap
(creator_code:org_t)
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