Artificial Intelligence: Its Scope and Limits

  • James H. Fetzer

Part of the Studies in Cognitive Systems book series (COGS, volume 4)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Metamentality

    1. Front Matter
      Pages 1-1
    2. James H. Fetzer
      Pages 3-27
    3. James H. Fetzer
      Pages 29-60
    4. James H. Fetzer
      Pages 61-89
  3. Knowledge and Expertise

    1. Front Matter
      Pages 91-91
    2. James H. Fetzer
      Pages 93-126
    3. James H. Fetzer
      Pages 127-162
    4. James H. Fetzer
      Pages 163-191
  4. Representation and Verification

    1. Front Matter
      Pages 193-193
    2. James H. Fetzer
      Pages 195-232
    3. James H. Fetzer
      Pages 233-267
    4. James H. Fetzer
      Pages 269-303
  5. Back Matter
    Pages 305-339

About this book


This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data­ processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psycholo­ gy through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial in­ telligence and to computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these prob­ lems and domains, empirical, experimental, and methodological studies will also appear from time to time. The perspective that prevails in artificial intelligence today suggests that the theory of computability defines the boundaries of the nature of thought, precisely because all thinking is computational. This paradigm draws its inspiration from the symbol-system hypothesis of Newell and Simon and finds its culmination in the computational conception of lan­ guage and mentality. The "standard conception" represented by these views is subjected to a thorough and sustained critique in the pages of this book. Employing a distinction between systems for which signs are signif­ icant for the users of a system and others for which signs are significant for use by a system, I have sought to define the boundaries of what AI, in principle, may be expected to achieve.


Charles Sanders Peirce Chinese room Extension Frames Theory of Signs Turing test algorithms artificial intelligence cognition complexity expert system intelligence knowledge knowledge representation verification

Authors and affiliations

  • James H. Fetzer
    • 1
  1. 1.Department of PhilosophyUniversity of MinnesotaDuluthUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1990
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-0548-4
  • Online ISBN 978-94-009-1900-6
  • Series Print ISSN 0924-0780
  • Buy this book on publisher's site
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