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Evolution of visually-guided approach behaviour in recurrent artificial neural network robot controllers
University of Skövde, School of Humanities and Informatics.
University of Skövde, School of Humanities and Informatics.ORCID iD: 0000-0001-6883-2450
1998 (English)Report (Other academic)
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.

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 1998.
Series
IKI Technical Reports ; HS-IDA-TR-98-003
Keyword [en]
Evolutionary robotics, visually-guided behaviour, recurrent artificial neural networks, subsumption architectures
National Category
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-1178OAI: oai:DiVA.org:his-1178DiVA, id: diva2:2304
Available from: 2008-06-17 Created: 2008-06-17 Last updated: 2018-01-15

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Ziemke, Tom

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf