The Metaphysical Nature of the Non-adequacy Claim

An Epistemological Analysis of the Debate on Probability in Artificial Intelligence

  • Carlotta Piscopo

Part of the Studies in Computational Intelligence book series (SCI, volume 464)

Table of contents

  1. Front Matter
    Pages 1-8
  2. Carlotta Piscopo
    Pages 1-6
  3. Carlotta Piscopo
    Pages 7-38
  4. Carlotta Piscopo
    Pages 69-97
  5. Carlotta Piscopo
    Pages 123-124
  6. Back Matter
    Pages 125-145

About this book

Introduction

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.

Keywords

Artificial Intelligence Computational Intelligence Epistemological Analysis

Authors and affiliations

  • Carlotta Piscopo
    • 1
  1. 1.Université Libre de BruxellesBruxellesBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35359-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-35358-1
  • Online ISBN 978-3-642-35359-8
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book