Introducing the mathematical category of artificial perceptions

  • Authors:
  • Z. Arzi-Gonczarowski;D. Lehmann

  • Affiliations:
  • Typographics Ltd, 46 Hehalutz St, Jerusalem 96222, Israel E-mail: zippie@actcom.co.il;Institute of Computer Science, The Hebrew University of Jerusalem, Jerusalem 91904, Israel

  • Venue:
  • Annals of Mathematics and Artificial Intelligence
  • Year:
  • 1998

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Abstract

Perception is the recognition of elements and events in the environment, usually through integration of sensory impressions. It is considered here as a broad, high‐level, concept (different from the sense in which computer vision/audio research takes the concept of perception). We propose and develop premises for a formal approach to a fundamental phenomenon in AI: the diversity of artificial perceptions. A mathematical substratum is proposed as a basis for a rigorous theory of artificial perceptions. A basic mathematical category is defined. Its objects are perceptions, consisting of world elements, connotations, and a three‐valued (true, false, undefined) predicative correspondence between them. Morphisms describe paths between perceptions. This structure serves as a basis for a mathematical theory. This theory provides a way of extending and systematizing certain intuitive pre‐theoretical conceptions about perception, about improving and/or completing an agent’s perceptual grasp, about transition between various perceptions, etc. Some example applications of the theory are analyzed.