Accession Number:

ADA175784

Title:

Learning Physical Domains: Toward a Theoretical Framework.

Descriptive Note:

Technical rept. 1 Sep 85-31 Aug 88,

Corporate Author:

ILLINOIS UNIV AT URBANA DEPT OF COMPUTER SCIENCE

Personal Author(s):

Report Date:

1986-12-01

Pagination or Media Count:

50.0

Abstract:

This paper presents a theoretical framework that is being developed in an attempt to construct a computational account of human learning of physical domains. Qualitative Process theory is used to model portions of peoples physical knowledge, and structure-mapping theory is used to characterize the computations that move a learner from one representation to another. The paper outlines the component theories and proposes a learning sequence for physical domains. Keywords cognitive modelling qualitative reasoning analogical reasoning artificial intelligence.

Subject Categories:

  • Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE