Studying Scientific Discovery by Computer Simulation.

Abstract

Scientific discovery is a complex process, but despite its complexity, it can be analyzed using two basic ideas from the theory of human problem solving - the notion of search through a problem space, and the notion of heuristics for diredting that search down profitable paths. In this paper we examine Black's discovery of the specific heat law in the light of these concepts, and consider how BACON, an empirical discovery program, employs heuristics for finding numeric relations, positing intrinsic properties, and expecting symmertical forms to rediscover this law. Finally, they examine the role of theory in scientific discovery, and describe a different approach to inducing Black's law that relies on the distinction between extensive and intensive terms, and on the notion of conservation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 30, 1983
Accession Number
ADA126438

Entities

People

  • Gary L. Bradshaw
  • Herbert Simon
  • Patrick W. Langley

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Chemistry
  • Cognition
  • Computer Programs
  • Computer Simulations
  • Computers
  • Data Analysis
  • Equations
  • Experimental Data
  • Heat Capacity
  • Information Processing
  • Mental Processes
  • Personality
  • Psychology
  • Security
  • Simulations
  • Specific Heat
  • Thinking

Readers

  • Artificial Intelligence
  • Educational Psychology

Technology Areas

  • Space