Studies in Computational Intelligence

The Metaphysical Nature of the Non-adequacy Claim

An Epistemological Analysis of the Debate on Probability in Artificial Intelligence

Authors: Piscopo, Carlotta

  • Presents an Epistemological Analysis of the Debate on Probability in Artificial Intelligence
  • Studies the Metaphysical Nature of the Non-adequacy Claim
  • Written by a leading expert in the field
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About this book

Over the last two decades, the field of artificial intelligence has experienced

a separation into two schools that hold opposite opinions on how uncertainty should be treated. This separation is the result of a debate that began at the end of the 1960’s when AI first faced the problem of building machines required to make decisions and act in the real world. This debate witnessed the contraposition between the mainstream school, which relied on probability for handling uncertainty, and an alternative school, which criticized the adequacy of probability in AI applications and developed alternative formalisms.

The debate has focused on the technical aspects of the criticisms raised against probability while neglecting an important element of contrast. This element is of an epistemological nature, and is therefore exquisitely philosophical. In this book, the historical context in which the debate on probability developed is presented and the key components of the technical criticisms therein are illustrated. By referring to the original texts, the epistemological element that has been neglected in the debate is analyzed in detail. Through a philosophical analysis of the epistemological element it is argued that this element is metaphysical in Popper’s sense. It is shown that this element cannot be tested nor possibly disproved on the

basis of experience and is therefore extra-scientific. Ii is established that a philosophical analysis is now compelling in order to both solve the problematic division that characterizes the uncertainty field and to secure the foundations of the field itself.

Reviews

From the reviews:

“This book analyzes the evolution of the treatment of uncertainty in the field of artificial intelligence (AI). … AI practitioners and researchers interested in the foundations of probabilistic models for AI probably make up one part of the audience. On the other hand, philosophers interested in the history of science, in particular in the unfolding of basic disputes in science, may be greatly interested in this book.” (Marcelo Finger, Computing Reviews, July, 2013)

Table of contents (6 chapters)

  • Introduction

    Piscopo, Carlotta

    Pages 1-6

  • Historical and Philosophical Background

    Piscopo, Carlotta

    Pages 7-38

  • Uncertainty in AI and the Debate on Probability

    Piscopo, Carlotta

    Pages 39-68

  • The Non-adequacy Claim in the Literature

    Piscopo, Carlotta

    Pages 69-97

  • The Metaphysical Character of the Non-adequacy Claim

    Piscopo, Carlotta

    Pages 99-122

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-642-35359-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-35358-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
The Metaphysical Nature of the Non-adequacy Claim
Book Subtitle
An Epistemological Analysis of the Debate on Probability in Artificial Intelligence
Authors
Series Title
Studies in Computational Intelligence
Series Volume
464
Copyright
2013
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-35359-8
DOI
10.1007/978-3-642-35359-8
Hardcover ISBN
978-3-642-35358-1
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 146
Topics