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Evolution of visually-guided approach behaviour in recurrent artificial neural network robot controllers
Högskolan i Skövde, Institutionen för datavetenskap.
Högskolan i Skövde, Institutionen för datavetenskap.ORCID-id: 0000-0001-6883-2450
1998 (Engelska)Rapport (Övrigt vetenskapligt)
Abstract [en]

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.

Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
Skövde: University of Skövde , 1998.
Serie
IDA Technical Reports ; HS-IDA-TR-98-003
Nyckelord [en]
Evolutionary robotics, visually-guided behaviour, recurrent artificial neural networks, subsumption architectures
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Identifikatorer
URN: urn:nbn:se:his:diva-1178OAI: oai:DiVA.org:his-1178DiVA, id: diva2:2304
Anmärkning

HS-IDA-TR-98-003, Institutionen för datavetenskap

Tillgänglig från: 2008-06-17 Skapad: 2008-06-17 Senast uppdaterad: 2018-11-15Bibliografiskt granskad

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Ziemke, Tom

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