Applications of Analogical Reasoning
- 1 September 1987
- journal article
- Published by Taylor & Francis in Metaphor and Symbolic Activity
- Vol. 2 (3) , 201-218
- https://doi.org/10.1207/s15327868ms0203_3
Abstract
Analogical reasoning is described as a form of inference that allows us to derive implications from single cases even when we do not know all the factors involved. In fact, its advantage over more formal types of inference may be that it can be usefully applied to situations in which there are missing data, ill-defined goals, and incomplete specification of parameters. The potential advantages of analogical reasoning methods over more formal approaches are described for the domains of generating predictions, making decisions, designing displays, and representing information. It is concluded that an understanding of reasoning by analogy may provide tools for a variety of applied problems.This publication has 18 references indexed in Scilit:
- Validity of analogical predictionsTechnological Forecasting and Social Change, 1986
- Computer Software for Intelligent SystemsScientific American, 1984
- Time pressure, training and decision effectivenessErgonomics, 1984
- Valid Reasoning by AnalogyPhilosophy of Science, 1984
- The use of statistical heuristics in everyday inductive reasoning.Psychological Review, 1983
- Analogical problem solvingCognitive Psychology, 1980
- Improvement of skills for solving‐ ill‐defined problemsEducational Psychologist, 1978
- Features of similarity.Psychological Review, 1977
- Component processes in analogical reasoning.Psychological Review, 1977
- The role of analogy in transfer between similar problem statesCognitive Psychology, 1974