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    <title>history-based backtracking scheme for Prolog</title>
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  <name type="personal">
    <namePart>Tang Van To</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Malhotra, Vishv Mohan</namePart>
    <role>
      <roleTerm type="text">Chairpeson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kimura, Tomonori</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kanchana Kanchanasut</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Government Of Australia</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
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  <originInfo>
    <place>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1988</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>55 p.</extent>
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  <abstract>Keyr-1ords: Prolog, Naive .Interpreter, History-based Interpreter,  Depth First Search, Cause of Fai1ure, SLD Tree, AND/OR Tree,  Intelligent Backtracking, Data- Dependency Analysis, Execution  History.  In t his thesis , a History - Based backtracking (HBB )  interpreter for Prolog is developed and evaluated. Based on an  analysis the causes o[ failures, the causes are stored in the  history and are used to avoid repeating the same failures . Four  basic rules for t he scheme have been derived and justified in the  thesis.  Two interpreters, a conventional and t he other based on the  scheme proposed for a Prolog dialect are implemented using Turbo  Pas ca l (version 4 ) . The scheme requires an analysis to determine  for each failure , t h e cause of t h e failure. A history of the  causes leading to failures is maintained and used to avoid  repeating these failures.  Th ese interpreters are used to compare and evaluate the  proposed scheme with respect to the naïve interpreter and the  schemes based on intelligent backtracking.  We conclude t hat the proposed scheme is better than those  based on data dependency analysis and is easier to implement t h an  the in Telligent backtracking schemes.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Engineering and Technology</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology,1988</note>
  <subject authority="lcsh">
    <topic>Prolog (Computer program language)</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. CS-88-6</title>
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    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
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    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B18764</identifier>
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