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Qualitative representation and reasoning with uncertainty in space and time

El-Geresy, Baher A. and Abdelmoty, Alia ORCID: 2006. Qualitative representation and reasoning with uncertainty in space and time. Presented at: Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK December 2005, Cambridge, UK, December 2005. Research and Development in Intelligent Systems XXII. London: Springer, pp. 345-355. 10.1007/978-1-84628-226-3_26

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Imprecision, indeterminacy and vagueness are all terms which have been studied recently in studies of representations of entities in space and time. The interest has arisen from the fact that in many cases, precise information about objects in space are not available. In this paper a study of spatial uncertainty is presented and extended to temporal uncertainty. Different types and modes of uncertainty are identified. A unified framework is presented for the representation and reasoning over uncertain qualitative domains. The method addresses some of the main limitations of the current approaches. It is shown to apply to different types of entities with arbitrary complexity with total or partial uncertainty. The approach is part of a comprehensive research program aimed at developing a unified complete theory for qualitative spatial and temporal domains

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Publisher: Springer
ISBN: 9781846282256
Last Modified: 24 Oct 2022 10:15

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