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  <titleInfo>
    <title>Artificial intelligence and conservation</title>
  </titleInfo>
  <name type="personal">
    <namePart>Fang, Fei</namePart>
    <role>
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  </name>
  <name type="personal">
    <namePart> Tambe ,Milind</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Dilkina,  Bistra</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Plumptre,  Andrew J.</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
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  <genre authority="marc">bibliography</genre>
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    <place>
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    <dateIssued encoding="marc">2019</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>x, 236 pages : illustrations ; 23 cm.</extent>
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  <tableOfContents>Law enforcement for wildlife conservation -- Wildlife poaching forecasting based on ranger-collected data and evaluation through field tests -- Optimal patrol planning against black-box attackers -- Automatic detection of poachers and wildlife with UAVs -- Protecting coral reef ecosystems via efficient patrols -- Simultaneous optimization of strategic and tactical planning for environmental sustainability and security -- NECTAR: enforcing environmental compliance through strategically randomized factory inspections -- Connecting conservation research and implementation: building a wildfire assistant -- Probablistic inference with generating functions for animal populations -- Engaging citizen scientists in data collection for conservation -- Simulator-defined markov decision processes: a case study in managing bio-invasions.</tableOfContents>
  <note type="statement of responsibility">edited by Fei Fang, Carnegie Mellon University, Milind Tambe, University of Southern California, Bistra Dilkina, Georgia Institute of Technology, Andrew J. Plumptre, Key Biodiversity Areas Secretariat.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Wildlife conservation</topic>
    <topic>Technological innovations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <classification authority="lcc">QL82 .A78 2019</classification>
  <classification authority="ddc" edition="21">006.3 F.F.A 2019</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Artificial intelligence for social good</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9781316512920</identifier>
  <identifier type="isbn">9781108464734</identifier>
  <identifier type="lccn">2018040979</identifier>
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    <recordCreationDate encoding="marc">180824</recordCreationDate>
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    <recordIdentifier source="OSt">20644358</recordIdentifier>
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