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  <titleInfo>
    <title>Artificial intelligence</title>
    <subTitle>a guide to intelligent systems</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Negnevitsky, Michael</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <originInfo>
    <place>
      <placeTerm type="text">Harlow</placeTerm>
    </place>
    <publisher>Pearson</publisher>
    <dateIssued>2025</dateIssued>
    <edition>4th ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
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    <extent>xviii, 580 p.</extent>
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  <abstract>What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky's Artificial Intelligence: A Guide to Intelligent Systems. Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations.
</abstract>
  <note type="statement of responsibility">by Michael Negnevitsky</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>Artificial intelligence</topic>
  </subject>
  <subject>
    <topic>Machine learning</topic>
  </subject>
  <subject>
    <topic>Computer science</topic>
  </subject>
  <classification authority="ddc">006.3 NEG-A</classification>
  <identifier type="isbn">9781292730851</identifier>
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    <recordCreationDate encoding="marc">260403</recordCreationDate>
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