Accession Number : ADA141263

Title :   Towards a General Scientific Reasoning Engine.

Descriptive Note : Technical rept.,

Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF PSYCHOLOGY

Personal Author(s) : Carbonell,J G ; Larkin,J H ; Reif,F

PDF Url : ADA141263

Report Date : 17 Nov 1983

Pagination or Media Count : 24

Abstract : Expert reasoning in the natural sciences appears to make extensive use of a relatively small number of general principles and reasoning strategies, each associated with a larger number of more specific inference patterns. Using a dual declarative hierarchy to represent strategic and factual knowledge, we analyze a framework for a robust scientific reasoning engine. It is argued that such an engine could provide the ability to reason from basic principles in the absence of directly applicable specific information, principled knowledge acquisition by using existing general patterns to structure new information, and congenial explanation and instruction in terms of general and familiar patterns of inference.

Descriptors :   *Reasoning, *Problem solving, *Artificial intelligence, Scientists, Mathematical models, Analogies, Physics, Pattern recognition, Learning machines, Hierarchies, Strategy, Computer aided instruction

Subject Categories : Psychology
      Bionics

Distribution Statement : APPROVED FOR PUBLIC RELEASE