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  <titleInfo>
    <title>Agent-based simulation of trade in barter trade exchanges</title>
  </titleInfo>
  <name type="personal">
    <namePart>Nattiya Kanhabua</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Haddawy, Peter</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Guha, Sumanta</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Vatcharaporn Esichaikul</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>His Majesty the King of Thailand</namePart>
    <role>
      <roleTerm type="text">Scholarship donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2005</dateIssued>
    <issuance>continuing</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>60 p. : ill.</extent>
  </physicalDescription>
  <abstract>In this thesis, we presented a simulator for barter trade exchange. The simulator is implemented using a data-driven approach. This technique learns probabilistic models of company purchase behavior from transaction history data obtained from an operating commercial barter trade exchange. We experiment with a number of different temporal and non-temporal probabilistic models. Our simulator is built by making use of the learned company purchase probability. The simulated trade is quantitatively evaluated by measuring the agreement between simulated and actual values from different aspects (purchase amount, sales amount, the absolute trade balance and the over all trade volume). Results show a high degree of agreement between the simulated and actual trade</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, 2005</note>
  <subject authority="lcsh">
    <topic>Barter</topic>
    <topic>Simulation  methods</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Electronic Commerce</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. CS-05-15</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B09500</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B09500</url>
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  <recordInfo>
    <recordCreationDate encoding="marc">060502</recordCreationDate>
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