Scientific Discovery Computational Explorations of the Creative Processes

Herbert A. Simon; Gary L. Bradshaw; Jan M. Zytkow

ISBN 10: 0262620529 / ISBN 13: 9780262620529

Published by The MIT Press, 1987

About this Item

Near fine with light wear around the extremities of the cover. Sec 14A.

Seller Inventory # 52328

Bibliographic Details

• Title: Scientific Discovery Computational Explorations of the Creative Processes
• Publisher: The MIT Press
• Publication Date: 1987
• Language: English
• ISBN 10: 0262620529
• ISBN 13: 9780262620529
• Binding: Paperback
• Edition: First printing.
• Condition: Near Fine
• Seller catalogs:
  • Computer Science

About this title

Synopsis

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.

From the Back Cover

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.