Knowledge in Formation

A Computational Theory of Interpretation

  • Janos J. Sarbo
  • Jozsef I. Farkas
  • Auke J.J. van Breemen
Part of the Cognitive Technologies book series (COGTECH)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Signs and interpretative processes

    1. Front Matter
      Pages 11-11
    2. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 13-27
    3. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 29-35
    4. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 37-50
  3. Modeling cognitive information processing

    1. Front Matter
      Pages 51-53
    2. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 55-65
    3. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 67-83
  4. Applications

    1. Front Matter
      Pages 85-87
    2. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 89-110
    3. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 111-132
    4. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 133-150
    5. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 151-164
    6. Janos J. Sarbo, Jozsef I. Farkas, Auke J. J. van Breemen
      Pages 165-176
  5. Back Matter
    Pages 177-217

About this book

Introduction

Humans have an extraordinary capability to combine different types of information in a single meaningful interpretation. The quickness with which interpretation processes evolve suggests the existence of a uniform procedure for all domains. In this book the authors suggest that such a procedure can be found. They concentrate on the introduction of a theory of interpretation, and they define a model that enables a meaningful representation of knowledge, based on a dynamic view of information and a cognitive model of human information processing.

 

The book consists of three parts. The first part focuses on the properties of signs and sign interpretation; in the second part the authors introduce a model that complies with the conditions for sign processing set by the first part; and in the third part they examine applications of their model in the domain of logic, natural language, reasoning and mathematics. Finally they show how these domains pop up as perspectives in an overall model of knowledge representation.

 

The reader is assumed to have some interest in human information processing and knowledge modeling. Natural language is considered in the obvious sense, familiarity with linguistic theories is not required. Sign theoretical concepts are restricted to a manageable subset, which is introduced gently. Finally, some familiarity with basic concepts of propositional and syllogistic logic may be useful.

 

Keywords

Artificial intelligence Cognitive science Human information processing Intelligence augmentation Interpretation Knowledge representation Logic Natural language Peirce Perception Philosophy Reasoning Semiotics

Authors and affiliations

  • Janos J. Sarbo
    • 1
  • Jozsef I. Farkas
    • 2
  • Auke J.J. van Breemen
    • 3
  1. 1., Faculty of ScienceRadboud UniversityNijmegenNetherlands
  2. 2., Faculty of ScienceRadboud UniversityNijmegenNetherlands
  3. 3., Faculty of ScienceRadboud UniversityNijmegenNetherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-17089-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-17088-1
  • Online ISBN 978-3-642-17089-8
  • Series Print ISSN 1611-2482
  • About this book