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220922 ||| eng |
| 050 |
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4 |
|a BF441
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| 100 |
1 |
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|a Holland, John H.
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| 245 |
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0 |
|a Induction
|h Elektronische Ressource
|b processes of inference, learning, and discovery
|c John H. Holland [and others]
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| 260 |
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|a Cambridge, MA
|b MIT Press
|c 1989
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| 300 |
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|a xvi, 398 pages
|b illustrations
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| 653 |
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|a Machine learning
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| 653 |
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|a Inference
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| 653 |
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|a Memory
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| 653 |
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|a Induction (Logic)
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| 653 |
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|a COGNITIVE SCIENCES/Psychology/Cognitive Psychology
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| 653 |
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|a Learning, Psychology of
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| 653 |
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|a COGNITIVE SCIENCES/General
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| 653 |
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|a Artificial intelligence
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| 740 |
0 |
2 |
|a CogNet library
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b MITArchiv
|a MIT Press eBook Archive
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| 490 |
0 |
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|a Computational models of cognition and perception
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| 500 |
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|a Includes appendix 12A: a walking tour of the computational ideas underlying classifier systems
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| 028 |
5 |
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|a 10.7551/mitpress/3729.001.0001
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| 856 |
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|u https://doi.org/10.7551/mitpress/3729.001.0001?locatt=mode:legacy
|x Verlag
|3 Volltext
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| 082 |
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|a 153
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| 520 |
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|a 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. Theirs is the first major effort to bring the ideas of several disciplines to bear on a subject that has been a topic of investigation since the time of Socrates. The result is an integrated account that treats problem solving and induction in terms of rulebased mental models.Induction is included in the Computational Models of Cognition and Perception Series.A Bradford Book
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