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Precisiated Natural Language

  • Chapter
Aspects of Automatic Text Analysis

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 209))

Abstract

This article is a sequel to an article titled “A New Direction in AI – Toward a Computational Theory of Perceptions”, which appeared in the Spring 2001 issue of AI Magazine (volume 22, No. 1, 73–84). The concept of precisiated natural language (PNL) was briefly introduced in that article, and PNL was employed as a basis for computation with perceptions. In what follows, the conceptual structure of PNL is described in greater detail, and PNL’s role in knowledge representation, deduction, and concept definition is outlined and illustrated by examples. What should be understood is that PNL is in its initial stages of development and that the exposition that follows is an outline of the basic ideas that underlie PNL rather than a definitive theory.

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Authors and Affiliations

  1. University of California Berkeley, Berkeley

    Lotfi A. Zadeh

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  1. Lotfi A. Zadeh
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Zadeh, L.A. (2007). Precisiated Natural Language. In: Aspects of Automatic Text Analysis. Studies in Fuzziness and Soft Computing, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37522-7_2

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  • DOI: https://doi.org/10.1007/978-3-540-37522-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37520-3

  • Online ISBN: 978-3-540-37522-7

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