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  <titleInfo>
    <title>Information theory and evolution</title>
  </titleInfo>
  <name type="personal">
    <namePart>Avery, John</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New Jersey</placeTerm>
    </place>
    <publisher>World Scientific</publisher>
    <dateIssued>2022</dateIssued>
    <edition>3rd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xii, 316 p.</extent>
  </physicalDescription>
  <abstract>This highly interdisciplinary book discusses the phenomenon of life, including its origin and evolution, against the background of thermodynamics, statistical mechanics, and information theory. Among the central themes is the seeming contradiction between the second law of thermodynamics and the high degree of order and complexity produced by living systems. As the author shows, this paradox has its resolution in the information content of the Gibbs free energy that enters the biosphere from outside sources.</abstract>
  <note type="statement of responsibility">John Avery</note>
  <note>Includes bibliographical references and index.</note>
  <note>Eng</note>
  <subject>
    <topic>Biometry-Data processing</topic>
  </subject>
  <subject>
    <topic>Evolution (Biology)-Statistical methods Data processing</topic>
  </subject>
  <classification authority="ddc">577.0727 AVE-I</classification>
  <identifier type="isbn">9789811253096</identifier>
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    <recordCreationDate encoding="marc">260514</recordCreationDate>
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