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Induction, algorithmic learning theory, and philosophy

Author: Michèle Friend; Norma B Goethe; Valentina S Harizanov
Publisher: Dordrecht : Springer, ©2007.
Series: Logic, epistemology and the unity of science, v. 9.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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  Read more...
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Document Type: Book
All Authors / Contributors: Michèle Friend; Norma B Goethe; Valentina S Harizanov
ISBN: 9781402061264 1402061269 9789048113712 9048113717
OCLC Number: 154712025
Description: xiii, 287 pages : illustrations ; 24 cm.
Contents: 1. Introduction to the philosophy and mathematics of algorithmic learning theory / Valentina S. Harizanov, Norma B. Goethe, Michèle Friend --
pt. 1. Technical papers --
2. Inductive inference systems for learning classes of algorithmically generated sets and structures / Valentina S. Harizanov --
3. Deduction, induction, and beyond in parametric logic / Eric Martin, Arun Sharma, Frank Stephan --
4. How simplicity helps you find the truth without pointing at it / Kevin T. Kelly --
5. Introduction over the continuum / Iraj Kalantari --
pt. 2. Philosophy papers --
6. Logically reliable inductive inference / Oliver Schulte --
7. Some philosophical concerns about the confidence in 'confident learning' / Michèle Friend --
8. How to do things with an infinite regress / Kevin T. Kelly --
9. Trade-offs / Clark Glymour --
10. Two ways of thinking about induction / Norma B. Goethe --
11. Between history and logic / Brendan Larvor.
Series Title: Logic, epistemology and the unity of science, v. 9.
Responsibility: edited by Michéle Friend, Norma B. Goethe, Valentina S. Harizanov.

Abstract:

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  Read more...

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