Weise, Charlotte
(1993)
Theoretical and Computational Approaches to Reasoning by Analogy.
Technical Report.
School of Library and Information Science, University of Pittsburgh, Pittsburgh, PA.
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Abstract
This paper examines the existing research concerning both formal and computational approaches to analogy. It first reviews the approached taken in analogical reasoning; and discusses whether analogy is best modelled as similarity-based, deductive, or graph isomorphic problem, or whether analogy is best modelled as a cognitive process. Then it reviews major computational models of analogy, including case-based reasoning, derivational analogy, purpose-directed analogy, NLAG, the Structure-Mapping Engine, ACME, and Copycat and Tabletop. it categorizes each of these as a primarily similarity-based approach to analogic comparison, a deductive approach, or a graph-matching theoretic approach. it examines the weaknesses and areas for further research inherent in all of these approaches, focusing on the areas of problem reformulation and search for a suitable source analogy. It then suggests a framework for a new model of analogy, called dynamic analogy, which views analogy as a cognitive process that is utilized in reasoning about complex, process-oriented situations. It uses Situation theory as a framework to address the issues of context and reformulation, and attempts to address the search issue, in part, in the framework of ecological attunements.
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Details
Item Type: |
Monograph
(Technical Report)
|
Status: |
Published |
Creators/Authors: |
Creators | Email | Pitt Username | ORCID  |
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Weise, Charlotte | | | |
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Monograph Type: |
Technical Report |
Date: |
1993 |
Date Type: |
Publication |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Publisher: |
School of Library and Information Science, University of Pittsburgh |
Place of Publication: |
Pittsburgh, PA |
Institution: |
University of Pittsburgh |
Department: |
School of Library and Information Science |
Schools and Programs: |
School of Information Sciences > Library and Information Science |
Refereed: |
No |
Other ID: |
LIS049/IS93001 |
Date Deposited: |
11 Apr 2013 17:29 |
Last Modified: |
20 Dec 2018 00:55 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/18281 |
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