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  <titleInfo>
    <title>Toward human-level artificial intelligence</title>
    <subTitle>how neuroscience can inform the pursuit of artificial general intelligence or general AI</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Azoff, Eitan Michael</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Boca Raton</placeTerm>
    </place>
    <publisher>CRC Press</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xv, 175 p.</extent>
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  <abstract>Is a computer simulation of a brain sufficient to make it intelligent? Do you need consciousness to have intelligence? Do you need to be alive to have consciousness? This book has a dual purpose. First, it provides a multi-disciplinary research survey across all branches of neuroscience and AI research that relate to this book's mission of bringing AI research closer to building a human-level AI (HLAI) system. It provides an encapsulation of key ideas and concepts, and provides all the references for the reader to delve deeper; much of the survey coverage is of recent pioneering research. Second, the final part of this book brings together key concepts from the survey and makes suggestions for building HLAI. This book provides accessible explanations of numerous key concepts from neuroscience and artificial intelligence research, including: - The focus on visual processing and thinking and the possible role of brain lateralization toward visual thinking and intelligence.- Diffuse decision making by ensembles of neurons. </abstract>
  <note type="statement of responsibility">Eitan Michael Azoff</note>
  <note>Includes bibliographical references and index.</note>
  <note>Eng</note>
  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <subject>
    <topic>Natural language processing (Computer Science)</topic>
  </subject>
  <classification authority="ddc">006.3 AZZ-T</classification>
  <identifier type="isbn">9781032829074</identifier>
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    <recordCreationDate encoding="marc">260812</recordCreationDate>
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