Precisiated natural language (PNL)

  • Authors:

  • Lotfi A. Zadeh

  • Affiliations:

  • University of California, Berkeley

  • Venue:
  • AI Magazine
  • Year:
  • 2004

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Abstract

This article is a sequel to an article title "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.