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    <title> agent-mediated negotiation model in electronic commerce</title>
  </titleInfo>
  <name type="personal">
    <namePart>Siriwan Apisiridej</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Sadananda, Ramakoti</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Batanov, Dentcho N.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Yulu, Qi</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Asian Institute of Technology Partial Scholarship</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
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  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1999</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>93 p.</extent>
  </physicalDescription>
  <abstract>This study is about the paradigms of negotiation in the Electronic Commerce (EC), in  order to support existing business practices as well as for the new ones over the Internet. Our  work explicitly models negotiation as a multi-agent system that can handle multi-issue  negotiation and use Bayes rule to update belief as the underlying learning mechanism. Besides  considering the trends of counterparts' strategies by using Bayes rule, agents can adapt  learning strategies by considering their environment during a negotiation process via a  Blackboard, which is a globally accessible database-like structure. A hypothetical example of  Bank Loan Negotiation is considered to illustrate the negotiation process for determining the  acceptable amount of loan and interest rate. Production rules are used to represent knowledge  in the analysis and evaluation phase of negotiation. The simulation results show that the  learning strategy with Bayes rule yields better results than the conventional strategies.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of  Engineering, School of Advanced Technologies</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1999</note>
  <subject authority="lcsh">
    <topic>Electronic commerce</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. IM-99-14</title>
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      <namePart>Asian Institute of Technology.</namePart>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B12344</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B12344</url>
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