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Perception-Based Granularity Levels in Concept Representation

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Foundations of Intelligent Systems (ISMIS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1932))

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Abstract

In this paper we propose a perception-based view of abstraction, which originates from the observation that conceptualization of a domain involves entities belonging to several epistemological levels. The fundamental level corresponds to the perception of a world. For memorization purposes, some kind of structure is needed, in order to organize objects and relations perceived in the world into coherent ensembles. To communicate with others, a language must be invented, and, finally, a theory makes it possible to reason about the world. After discussing suitable properties abstraction should have to be useful for concept representation, examples of abstraction operators, designed to perform the abstraction process in practice, will be introduced.

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Saitta, L., Zucker, JD. (2000). Perception-Based Granularity Levels in Concept Representation. In: Raś, Z.W., Ohsuga, S. (eds) Foundations of Intelligent Systems. ISMIS 2000. Lecture Notes in Computer Science(), vol 1932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39963-1_43

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  • DOI: https://doi.org/10.1007/3-540-39963-1_43

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  • Print ISBN: 978-3-540-41094-2

  • Online ISBN: 978-3-540-39963-6

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