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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
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED142421
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    Text: Full Text from ERIC
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PubType: Report
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IllustrationInfo
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  Data: The Role of Partial and Best Matches in Knowledge Systems.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Hayes-Roth%2C+Frederick%22">Hayes-Roth, Frederick</searchLink><br /><searchLink fieldCode="AR" term="%22Rand+Corp%2E%2C+Santa+Monica%2C+CA%2E%22">Rand Corp., Santa Monica, CA.</searchLink>
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  Label: Availability
  Group: Avail
  Data: Publications Department, The Rand Corporation, 1700 Main St., Santa Monica, California 90406 ($3.00)
– Name: PeerReviewed
  Label: Peer Reviewed
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  Data: N
– Name: Pages
  Label: Page Count
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  Data: 40
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 1977
– Name: NumberReport
  Label: Report Number
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  Data: P-5802
– Name: TypeDocument
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  Data: Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Abstract+Reasoning%22">Abstract Reasoning</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Theories%22">Learning Theories</searchLink><br /><searchLink fieldCode="DE" term="%22Logical+Thinking%22">Logical Thinking</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+Models%22">Mathematical Models</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+Recognition%22">Pattern Recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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)
– Name: Note
  Label: Notes
  Group: Note
  Data: Not available in hard copy due to marginal legibility of original document
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  Data: 1977
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      Pagination:
        PageCount: 40
    Subjects:
      – SubjectFull: Abstract Reasoning
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: Learning
        Type: general
      – SubjectFull: Learning Theories
        Type: general
      – SubjectFull: Logical Thinking
        Type: general
      – SubjectFull: Mathematical Models
        Type: general
      – SubjectFull: Pattern Recognition
        Type: general
      – SubjectFull: Semantics
        Type: general
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      – TitleFull: The Role of Partial and Best Matches in Knowledge Systems.
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            NameFull: Rand Corp., Santa Monica, CA.
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            NameFull: Hayes-Roth, Frederick
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 1977
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