The Role of Partial and Best Matches in Knowledge Systems.
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| Title: | The Role of Partial and Best Matches in Knowledge Systems. |
|---|---|
| Authors: | Hayes-Roth, Frederick, Rand Corp., Santa Monica, CA. |
| Availability: | Publications Department, The Rand Corporation, 1700 Main St., Santa Monica, California 90406 ($3.00) |
| Peer Reviewed: | N |
| Page Count: | 40 |
| Publication Date: | 1977 |
| Report Number: | P-5802 |
| Document Type: | Reports - Research |
| Descriptors: | Abstract Reasoning, Algorithms, Educational Research, Learning, Learning Theories, Logical Thinking, Mathematical Models, Pattern Recognition, Semantics |
| Abstract: | This paper is a theoretical discussion of several functions of knowledge systems based on the idea of partial matching, that is, comparison of two or more descriptions by identification of their similarities. Several knowledge system functions are described in terms of partial or best matchings including analogical reasoning, inductive inference, predicate discovery, pattern-directed inference, semantic interpretation, and speech and image understanding. It is difficult to determine admissible algorithms for these functions; economical solutions seem to be possible only for globally organized knowledge bases. Examples are provided and directions for research are discussed. (Author/SD) |
| Notes: | Not available in hard copy due to marginal legibility of original document |
| Journal Code: | RIEDEC1977 |
| Entry Date: | 1977 |
| Accession Number: | ED142421 |
| Database: | ERIC |
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