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Induction : processes of inference, learning, and discovery

Author: John H Holland
Publisher: Cambridge, MA : MIT Press, ©1989.
Series: Computational models of cognition and perception.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:

Two psychologists, a computer scientist, and a philosopher have collaborated to present a framework for understanding processes of inductive reasoning and learning in organisms and machines.

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Additional Physical Format: Print version:
Induction.
Cambridge, Mass. : MIT Press, ©1986
(DLC) 86002811
(OCoLC)13216173
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John H Holland
OCLC Number: 57395438
Notes: Includes appendix 12A: a walking tour of the computational ideas underlying classifier systems.
Description: 1 online resource (xvi, 398 pages) : illustrations.
Contents: 1. A framework for induction --
2. Rule-base mental models --
3. The modification of rules --
4. Computational implementation of inductive systems --
5. Conditioning and covariation detection --
6. Category formation --
7. Modeling the physical and social worlds --
8. Generalization and knowledge of variability --
9. Learning inferential rules --
10. Analogy --
11. Scientific discovery --
12. Epilogue : toward a theory of induction.
Series Title: Computational models of cognition and perception.
Other Titles: CogNet library.
Responsibility: John H. Holland [and others].

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"A broad, sweeping inquiry of what concepts are, what learning is, and how it can take place at all... Induction is a deep synthesis of epistemology, evolution and computation. This path-breaking Read more...

 
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