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Prediction and postdiction under uncertainty
Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
1995 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

An intelligent agency requires the capability to predict what the world looks like as a consequence of its actions. It also needs to explain present observations in order to infer previous states. This thesis proposes an approach to realize both capabilities, that is prediction and postdiction based on temporal information. In particular, there is always some uncertainty in the knowledge about the world which the autonomous agent inhabits. Therefore we handle uncertainty using probability theory. None of the previous works dealing with quantitative (or numerical) approaches addressed on the postdiction problem in designing an intelligent agent. Our thesis presents a method to resolve this postdiction problem under uncertainty.

Place, publisher, year, edition, pages
Linköping: Univ. , 1995. , p. 83
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 503
National Category
Philosophy
Identifiers
URN: urn:nbn:se:liu:diva-163539ISBN: 9178715776 (print)OAI: oai:DiVA.org:liu-163539DiVA, id: diva2:1392412
Available from: 2020-02-07 Created: 2020-02-07 Last updated: 2020-02-07Bibliographically approved

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CiteExportLink to record
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Citation style
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