Scientific discovery : Computational explorations of the creative processes
Langley, Pat, Herbert Simon und Gary Bradshaw:
Language: English
Published by Cambridge, Mass. : MIT Press, 1987
- Softcover
- Used
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357 pages Softcover, Broschur mit den üblichen Bibliotheks-Markierungen, Stempeln und Einträgen, innen wie außen, siehe Bilder. (Evtl. auch Kleber- und/oder Etikettenreste, sowie -abdrücke durch abgelöste Bibliotheksschilder). Seiten mit Bleistiftmarkierungen im Text und/oder am Textrand. Etwas gebräunt. B10-01-02C|[X2395] Sprache: Englisch Gewicht in Gramm: 584.
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- Title
- Scientific discovery : Computational explorations of the creative processes
- Author
- Langley, Pat, Herbert Simon und Gary Bradshaw:
- Publisher
- Cambridge, Mass. : MIT Press
- Publication year
- 1987
- Condition
- Befriedigend
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0262620529
- ISBN 13
- 9780262620529
- Item weight
- 584 grams
- Seller catalogs
- Modernes Antiquariat
Scientific discovery is often regarded as romantic and creative -- and hence unanalyzable -- whereas the everyday process of verifying discoveries is sober and more suited to analysis. Yet this fascinating exploration of how scientific work proceeds argues that however sudden the moment of discovery may seem, the discovery process can be described and modeled.
Using the methods and concepts of contemporary information-processing psychology (or cognitive science) the authors develop a series of artificial-intelligence programs that can simulate the human thought processes used to discover scientific laws. The programs -- BACON, DALTON, GLAUBER, and STAHL -- are all largely data-driven, that is, when presented with series of chemical or physical measurements they search for uniformities and linking elements, generating and checking hypotheses and creating new concepts as they go along.
Scientific Discovery examines the nature of scientific research and reviews the arguments for and against a normative theory of discovery; describes the evolution of the BACON programs, which discover quantitative empirical laws and invent new concepts; presents programs that discover laws in qualitative and quantitative data; and ties the results together, suggesting how a combined and extended program might find research problems, invent new instruments, and invent appropriate problem representations. Numerous prominent historical examples of discoveries from physics and chemistry are used as tests for the programs and anchor the discussion concretely in the history of science.
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