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Exploring possible organizations for visually-guided orientation
University of Skövde, Department of Computer Science.
1997 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

This dissertation is concerned with exploring the behaviour and the internal properties of agent controllers which employ recurrent artificial neural networks, whose internal dynamics have been evolved by an evolutionary algorithm for coping with a visually-guided orientation task. Guided by a very simple fitness function, defined at behaviour level, the evolution allowed for emergence of different strategies, two of which are analysed in detail using traditional connectionist analysis methods. The examined strategies succeed in the orientation task by inherently handling a simple form of the object persistence problem in the limited environment, and by employing behaviours which include passive and active search, object tracking, obstacle avoidance, and a simple form of discrimination, each of which were observed to correspond to hidden unit activation subspaces.

Place, publisher, year, edition, pages
Skövde: Institutionen för datavetenskap , 1997. , 84 p.
National Category
Information Science
Identifiers
URN: urn:nbn:se:his:diva-286OAI: oai:DiVA.org:his-286DiVA: diva2:2646
Presentation
(English)
Uppsok
Social and Behavioural Science, Law
Supervisors
Available from: 2007-11-26 Created: 2007-11-26 Last updated: 2010-02-05

Open Access in DiVA

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fulltext(250 kB)201 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
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