Semiotic Fundamentals of Information Processing in Human Brain

Abstract

The paper discusses a mathematical nature of signs and symbols, and relates it to information processing and understanding, structure of the mind and brain, learning, and pattern recognition. I discuss past limitations of algorithms and neural networks, combinatorial complexity, the roles of concepts and emotions in mind's mechanisms, and various types of logic underlying mathematical techniques. A mathematical theory of semiosis, adaptive processes of sign interpretation, is described; it includes a similarity measure between signals and internal representations and fuzzy dynamic logic, a mechanism of the similarity maximization. Mathematical mechanisms of sign and symbol processing are presented and related to the functioning of mind.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2002
Accession Number
ADA515949

Entities

People

  • Leonid I. Perlovsky

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Computer Languages
  • Computer Vision
  • Image Processing
  • Information Processing
  • Intelligent Systems
  • Language
  • Linguistics
  • Mathematics
  • Neural Networks
  • Pattern Recognition
  • Psychology
  • Recognition

Readers

  • Artificial Intelligence
  • Educational Psychology
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML