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Author:
Haslum, Patrik (Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab) (Linköping University, The Institute of Technology)
Title:
Models for Prediction
Department:
Linköping University, Department of Computer and Information Science, KPLAB - Knowledge Processing Lab
Linköping University, The Institute of Technology
Publication type:
Conference paper (Refereed)
Language:
English
In:
Proceedings of the IJCAI 2001 workshop on Planning under Uncertainty and Incomplete Information (PRO-2)
Year of publ.:
2001
URI:
urn:nbn:se:liu:diva-59898
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59898
Subject category:
Computer Science
SVEP category:
Computer science
Abstract(en) :

Prediction is found to be a part of many more complex reasoning problems, e.g. state estimation, planning and diagnosis. In spite of this, the prediction problem is rarely studied on its own. Yet there appears to be a wide range of choices for the design of the central component in a solution to this problem, the predictive model. We examine some of the alternatives and, as a case study, present two different solutions to a specific prediction problem that we have encountered in the WITAS UAV project.

Available from:
2010-09-29
Created:
2010-09-29
Last updated:
2012-02-01
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