Editors:
- Offers a synergistic focus on the representation, learning and application of concepts
- Provides a more holistic perspective on concept research from leading researchers in the field
- Combines theoretical, experimental, computational, and applied approaches
Part of the book series: Language, Cognition, and Mind (LCAM, volume 9)
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Table of contents (8 chapters)
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Front Matter
About this book
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.
Editors and Affiliations
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Institute of Cognitive Science, Osnabrück University, Osnabrück, Germany
Lucas Bechberger, Kai-Uwe Kühnberger
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Department of English and American Studies, Humboldt University of Berlin, Berlin, Germany
Mingya Liu
Bibliographic Information
Book Title: Concepts in Action
Book Subtitle: Representation, Learning, and Application
Editors: Lucas Bechberger, Kai-Uwe Kühnberger, Mingya Liu
Series Title: Language, Cognition, and Mind
DOI: https://doi.org/10.1007/978-3-030-69823-2
Publisher: Springer Cham
eBook Packages: Religion and Philosophy, Philosophy and Religion (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2021
Hardcover ISBN: 978-3-030-69822-5Published: 03 August 2021
Softcover ISBN: 978-3-030-69825-6Published: 03 August 2021
eBook ISBN: 978-3-030-69823-2Published: 02 August 2021
Series ISSN: 2364-4109
Series E-ISSN: 2364-4117
Edition Number: 1
Number of Pages: X, 194
Number of Illustrations: 28 b/w illustrations, 18 illustrations in colour
Topics: Linguistics, general, Artificial Intelligence, Philosophy of Mind, Logic