Representing Space for Practical Reasoning | Zendy

Margaret M. Fleck | Zendy

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Representing Space for Practical Reasoning

Author(s) -

Margaret M. Fleck

Publication year - 1987

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.1.38

Subject(s) - boundary (topology) , social connectedness , spurious relationship , space (punctuation) , bounded function , computer science , function (biology) , scale space , noise (video) , algorithm , scaling , operator (biology) , topology (electrical circuits) , object (grammar) , image (mathematics) , computer vision , artificial intelligence , mathematics , geometry , mathematical analysis , image processing , combinatorics , machine learning , repressor , psychotherapist , chemistry , biology , operating system , psychology , biochemistry , evolutionary biology , transcription factor , gene

This paper describes a new approach to representing space and time for practical reasoning. Unlike Rn, the new models can represent a bounded region of space using only finitely many cells, so they can be manipulated directly. Unlike Zn, they have useful notions of function continuity and region connectedness. Finally, the topology of space is allowed to depend on the situation being represented, accounting for sharp changes in function values and lack of connectedness across object boundaries.

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