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  <titleInfo>
    <title>Autonomous Agents and Multiagent Systems. Best and Visionary Papers</title>
    <subTitle>AAMAS 2023 Workshops, London, UK, May 29 –June 2, 2023, Revised Selected Papers</subTitle>
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    <namePart>Amigoni, Francesco.</namePart>
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    <namePart>Sinha, Arunesh.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>X, 229 p. 57 illus., 46 illus. in color. online resource.</extent>
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  <abstract>This book contains visionary and best papers from the workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023, held in London, UK, during May 29–June 2, 2023. The 12 regular papers, 5 best papers and 7 visionary papers, presented were carefully reviewed and selected from a total of more than 110 contributions to the workshops. They focus on emerging topics and new trends in the area of autonomous agents and multiagent systems and stem from the following workshops: - Workshop on Autonomous Robots and Multirobot Systems (ARMS) - Workshop on Adaptive and Learning Agents (ALA) - Workshop on Interdisciplinary Design of Emotion Sensitive Agents (IDEA) - Workshop on Rebellion and Disobedience in Artificial Intelligence (RaD-AI) - Workshop on Neuro-symbolic AI for Agent and Multi-Agent Systems (NeSyMAS) - Workshop on Multiagent Sequential Decision Making under Uncertainty (MSDM) - Workshop on Citizen-Centric Multi-Agent Systems (C-MAS) .</abstract>
  <note type="statement of responsibility">edited by Francesco Amigoni, Arunesh Sinha.</note>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject authority="lcsh">
    <topic>Computer engineering</topic>
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  <subject authority="lcsh">
    <topic>Computer networks </topic>
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  <subject authority="lcsh">
    <topic>Software engineering</topic>
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  <subject authority="lcsh">
    <topic>Social sciences</topic>
    <topic>Data processing</topic>
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  <subject authority="lcsh">
    <topic>Numerical analysis</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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  <subject>
    <topic>Computer Engineering and Networks</topic>
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  <subject>
    <topic>Software Engineering</topic>
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  <subject>
    <topic>Computer Application in Social and Behavioral Sciences</topic>
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  <subject>
    <topic>Numerical Analysis</topic>
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      <title>Lecture Notes in Artificial Intelligence, 14456</title>
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  <identifier type="isbn">9783031562556</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-56255-6</identifier>
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