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    <title>Inductive Logic Programming</title>
    <subTitle>31st International Conference, ILP 2022, Windsor Great Park, UK, September 28–30, 2022, Proceedings</subTitle>
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    <namePart>Muggleton, Stephen H.</namePart>
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    <namePart>Tamaddoni-Nezhad, Alireza.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>X, 157 p. 35 illus., 20 illus. in color. online resource.</extent>
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  <abstract>This book constitutes the refereed proceedings of the 31st International Conference on Inductive Logic Programming, ILP 2022, held during September 28-30, 2022. The 11 regular papers presented in this book were carefully reviewed and selected from 26 submissions The papers in these proceedings represent the diversity and vitality in present ILP research, including statistical relational learning, transfer learning, scientific reasoning, learning temporal models, synthesis and planning, and argumentation and language. .</abstract>
  <note type="statement of responsibility">edited by Stephen H. Muggleton, Alireza Tamaddoni-Nezhad.</note>
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    <topic>Artificial intelligence</topic>
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    <topic>Computer engineering</topic>
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    <topic>Computer networks </topic>
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  <subject authority="lcsh">
    <topic>Compilers (Computer programs)</topic>
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  <subject>
    <topic>Compilers and Interpreters</topic>
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  <subject>
    <topic>Computer Science Logic and Foundations of Programming</topic>
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  <subject>
    <topic>Formal Languages and Automata Theory</topic>
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      <title>Lecture Notes in Artificial Intelligence, 13779</title>
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  <identifier type="isbn">9783031556302</identifier>
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