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Navigating in a dynamic world: Predicting the movements of others
University of Skövde, School of Humanities and Informatics.
2009 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The human brain is always trying to predict ahead in time. Many say that it is possible to take actions only based on internal simulations of the brain. A recent trend in the field of Artificial Intelligence is to provide agents with an “inner world” or internal simulations. This inner world can then be used instead of the real world, making it possible to operate without any inputs from the real world.

This final year project explores the possibility to navigate collision-free in a dynamic environment, using only internal simulation of sensor input instead of real input. Three scenarios will be presented that show how internal simulation operates in a dynamic environment. The results show that it is possible to navigate entirely based on predictions without a collision.

Place, publisher, year, edition, pages
2009. , p. 47
Keywords [en]
AI, ESN, Simulation hypothesis, Robotics, Navigation, Predictions, ANN
National Category
Computer Sciences Human Computer Interaction
Identifiers
URN: urn:nbn:se:his:diva-3146OAI: oai:DiVA.org:his-3146DiVA, id: diva2:224487
Presentation
2009-06-01, E202, Högskolevägen, Högskolan i Skövde, 14:15 (English)
Uppsok
Technology
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Available from: 2009-09-02 Created: 2009-06-18 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • 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