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Relation Variables in Qualitative Spatial Reasoning

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Principles and Practice of Constraint Programming – CP 2004 (CP 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3258))

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Abstract

Qualitative spatial representation and reasoning (QSR) [1] lends itself well to modelling by constraints. In the standard modelling approach, a spatial object, such as a region, is described by a variable, and the qualitative relation between spatial objects, such as the topological relation between two regions, contributes a constraint. We study here an alternative constraint-based formulation of QSR. In this approach, a spatial object is a constant, and the relation between spatial objects is a variable. We call this the relation-variable approach, in contrast to the conventional relation-constraint approach.

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References

  1. Cohn, G., Hazarika, S.M.: Qualitative spatial representation and reasoning: An overview. Fundamenta Informaticae 46(1-2), 1–29 (2001)

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  2. Tsang, E.P.K.: The consistent labeling problem in temporal reasoning. In: Forbus, K.S.H. (ed.) Proc. of 6th National Conference on Artificial Intelligence (AAAI 1987), pp. 251–255. AAAI Press, Menlo Park (1987)

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© 2004 Springer-Verlag Berlin Heidelberg

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Brand, S. (2004). Relation Variables in Qualitative Spatial Reasoning. In: Wallace, M. (eds) Principles and Practice of Constraint Programming – CP 2004. CP 2004. Lecture Notes in Computer Science, vol 3258. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30201-8_69

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  • DOI: https://doi.org/10.1007/978-3-540-30201-8_69

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23241-4

  • Online ISBN: 978-3-540-30201-8

  • eBook Packages: Springer Book Archive

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