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  <titleInfo>
    <title>Artificial intelligence</title>
    <subTitle>a modern approach</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Russell, Stuart J.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Norvig, Peter</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New Jersey</placeTerm>
    </place>
    <publisher>Prentice Hall, Upper Saddle River</publisher>
    <dateIssued>2020</dateIssued>
    <dateIssued encoding="marc" point="start">2020</dateIssued>
    <dateIssued encoding="marc" point="end">2015</dateIssued>
    <edition>Third edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>viii, 1145 pages : illustrations ;  30 cm.</extent>
  </physicalDescription>
  <abstract>"In this third edition, the authors have updated the treatment of all major areas. A new organizing principle--the representational dimension of atomic, factored, and structured models--has been added. Significant new material has been provided in areas such as partially observable search, contingency planning, hierarchical planning, relational and first-order probability models, regularization and loss functions in machine learning, kernel methods, Web search engines, information extraction, and learning in vision and robotics. The book also includes hundreds of new exercises".</abstract>
  <note type="statement of responsibility">Stuart J. Russell, Peter Norvig.</note>
  <note>Includes bibliography and index.
</note>
  <subject>
    <topic>Computer Science</topic>
  </subject>
  <classification authority="ddc">006.3 RUS</classification>
  <identifier type="isbn">9780136042594</identifier>
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    <recordCreationDate encoding="marc">230802</recordCreationDate>
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