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    Concepts in Action

    Representation, Learning, and Application

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    Contributor(s)
    Bechberger, Lucas (editor)
    Kühnberger, Kai-Uwe (editor)
    Liu, Mingya (editor)
    Language
    English
    Show full item record
    Abstract
    This open access book is a timely contribution in presenting recent issues, approaches, and results that are not only central to the highly interdisciplinary field of concept research but also particularly important to newly emergent paradigms and challenges. The contributors present a unique, holistic picture for the understanding and use of concepts from a wide range of fields including cognitive science, linguistics, philosophy, psychology, artificial intelligence, and computer science. The chapters focus on three distinct points of view that lie at the core of concept research: representation, learning, and application. The contributions present a combination of theoretical, experimental, computational, and applied methods that appeal to students and researchers working in these fields.
    URI
    https://library.oapen.org/handle/20.500.12657/50408
    Keywords
    Conceptual Spaces; Concept and Representation; Learning, Language and Application; Robotics and Typicality; Compositionality and Concepts; Concept Research; Concept Research and Machine Learning
    DOI
    10.1007/978-3-030-69823-2
    ISBN
    9783030698232, 9783030698232
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2021
    Grantor
    • Humboldt-Universität zu Berlin
    • Humboldt-Universität zu Berlin
    Imprint
    Springer
    Series
    Language, Cognition, and Mind, 9
    Classification
    Language: history and general works
    Artificial intelligence
    Philosophy of mind
    Philosophy: logic
    Pages
    194
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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