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Book by Langley Patrick W Bradshaw Gary Chicago Univ Of Zy
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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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Scientific Discovery examines the nature of scientific research; 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, devise new instruments, and invent appropriate problem representations.
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- VerlagMIT Press
- Erscheinungsdatum1987
- ISBN 10 0262620529
- ISBN 13 9780262620529
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten367
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Scientific Discovery : Computational Explorations of the Creative Processes
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Zustand: Good. Used book that is in clean, average condition without any missing pages. Artikel-Nr. GRP14132916
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Scientific Discovery: Computational Explorations of the Creative Processes.
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Zustand: as new. Cambridge, MA: The MIT Press, 1987. Paperback. 344 pp.- 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. English text. Condition : as new. Condition : as new copy. ISBN 9780262620529. Keywords : PHILOSOPHY, Artikel-Nr. 251437
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Scientific Discovery
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Zustand: Muy bueno. : Este libro explora cómo el trabajo científico puede ser descrito y modelado, argumentando que el proceso de descubrimiento puede ser analizado. Utilizando métodos de la psicología del procesamiento de la información, los autores desarrollan programas de inteligencia artificial que simulan los procesos de pensamiento humano para descubrir leyes científicas. Los programas, como BACON, DALTON, GLAUBER y STAHL, buscan uniformidades y elementos de enlace en datos químicos o físicos, generando hipótesis y creando nuevos conceptos. El libro examina la naturaleza de la investigación científica, revisa argumentos a favor y en contra de una teoría normativa del descubrimiento, y utiliza ejemplos históricos de la física y la química para probar los programas. EAN: 9780262620529 Tipo: Libros Categoría: Filosofía|Educación|Tecnología Título: Scientific Discovery Autor: Pat Langley| Herbert A. Simon| Gary L. Bradshaw| Jan M. Zytkow Editorial: MIT Press Idioma: en Páginas: 344 Formato: tapa blanda. Artikel-Nr. Happ-2024-05-09-5dcecaa1
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