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  <titleInfo>
    <nonSort>The </nonSort>
    <title>half-life of facts</title>
    <subTitle>why everything we know has an expiration date</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Arbesman, Samuel.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nyu</placeTerm>
    </place>
    <dateIssued encoding="marc">2012</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>viii, 242 pages : illustrations ; 24 cm</extent>
  </physicalDescription>
  <abstract>"A new approach to uderstanding the ever-changing information that bombards us. Arbesman is an expert in scientometrics, literally the science of science--how we know what we know. It turns out that knowledge in most fields evolves in systematic and predictable ways, and understanding that evolution can enormously powerful"--</abstract>
  <tableOfContents>Contenidos: The Half-Life of Facts

The Pace of Discovery

The Asymptote of Truth

Moore’s Law of Everything

The Spread of Facts

Hidden Knowledge

Fact Phase Transitions

Mount Everest and the Discovery of Error

The Human Side of Facts

At the Edge of What We Know</tableOfContents>
  <note type="statement of responsibility">Samuel Arbesman.</note>
  <note>Includes bibliographical references (pages 215-234) and index.</note>
  <subject authority="lcsh">
    <topic>Evolution</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Science</topic>
    <topic>Philosophy</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Probabilities</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>SCIENCE / General</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS / Probability &amp; Statistics / General</topic>
  </subject>
  <classification authority="lcc">Q175.32.E85 AR664h 2012</classification>
  <classification authority="ddc" edition="23">501</classification>
  <classification authority="bisacsh">SCI000000 MAT029000</classification>
  <identifier type="isbn">9781591844723</identifier>
  <identifier type="lccn">2012019142</identifier>
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