Logic, Epistemology, and the Unity of Science

Induction, Algorithmic Learning Theory, and Philosophy

Editors: Friend, Michèle, Goethe, Norma B., Harizanov, Valentina S. (Eds.)

  • First book to combine philosophy essays with technical essays on algorithmic learning theory
  • Invaluable for the reflective computer scientist or the mathematician/logician interested in modelling learning
  • Deepens the argument and debate about mathematically modelling learning
  • No-one with a serious interest in the philosophy of science can afford to ignore this development
  • Refracts the classical problem of induction into a spectrum of new insights and questions
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eBook $169.00
price for USA in USD (gross)
  • ISBN 978-1-4020-6127-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-1-4020-6126-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $219.99
price for USA in USD
  • ISBN 978-90-481-7544-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This is the first book to collect essays from philosophers, mathematicians and computer scientists working at the exciting interface of algorithmic learning theory and the epistemology of science and inductive inference. Readable, introductory essays provide engaging surveys of different, complementary, and mutually inspiring approaches to the topic, both from a philosophical and a mathematical viewpoint.

Building upon this base, subsequent papers present novel extensions of algorithmic learning theory as well as bold, new applications to traditional issues in epistemology and the philosophy of science. The volume is vital reading for students and researchers seeking a fresh, truth-directed approach to the philosophy of science and induction, epistemology, logic, and statistics.

Table of contents (11 chapters)

  • Introduction to the Philosophy and Mathematics of Algorithmic Learning Theory

    Harizanov, Valentina S. (et al.)

    Pages 1-24

  • Inductive Inference Systems for Learning Classes of Algorithmically Generated Sets and Structures

    Harizanov, Valentina S.

    Pages 27-54

  • Deduction, Induction, and beyond in Parametric Logic

    Martin, Eric (et al.)

    Pages 55-110

  • How Simplicity Helps You Find the Truth without Pointing at it

    Kelly, Kevin T.

    Pages 111-143

  • Induction over the Continuum

    Kalantari, Iraj

    Pages 145-154

Buy this book

eBook $169.00
price for USA in USD (gross)
  • ISBN 978-1-4020-6127-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-1-4020-6126-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $219.99
price for USA in USD
  • ISBN 978-90-481-7544-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Induction, Algorithmic Learning Theory, and Philosophy
Editors
  • Michèle Friend
  • Norma B. Goethe
  • Valentina S. Harizanov
Series Title
Logic, Epistemology, and the Unity of Science
Series Volume
9
Copyright
2007
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-1-4020-6127-1
DOI
10.1007/978-1-4020-6127-1
Hardcover ISBN
978-1-4020-6126-4
Softcover ISBN
978-90-481-7544-4
Series ISSN
2214-9775
Edition Number
1
Number of Pages
XIV, 290
Topics