Abstract
This paper focuses upon features of two-dimensional space that facilitate and/or obstruct travel through it. Three kinds of facilitators and four kinds of obstructers are identified. For each one, learning algorithms and navigational applications are proposed. The program described here simulates a robot that learns such features as it encounters them, and then applies them to subsequent travel decisions. The resulting system travels pragmatically through a variety of two-dimensional worlds.
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© 1997 Springer-Verlag Berlin Heidelberg
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Epstein, S.L. (1997). Spatial representation for pragmatic navigation. In: Hirtle, S.C., Frank, A.U. (eds) Spatial Information Theory A Theoretical Basis for GIS. COSIT 1997. Lecture Notes in Computer Science, vol 1329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63623-4_62
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DOI: https://doi.org/10.1007/3-540-63623-4_62
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