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Titlebook: Concepts in Action; Representation, Lear Lucas Bechberger,Kai-Uwe Kühnberger,Mingya Liu Book‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if applicable) and

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發(fā)表于 2025-3-21 17:51:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Concepts in Action
副標(biāo)題Representation, Lear
編輯Lucas Bechberger,Kai-Uwe Kühnberger,Mingya Liu
視頻videohttp://file.papertrans.cn/235/234914/234914.mp4
概述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 theoretic
叢書(shū)名稱Language, Cognition, and Mind
圖書(shū)封面Titlebook: Concepts in Action; Representation, Lear Lucas Bechberger,Kai-Uwe Kühnberger,Mingya Liu Book‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if applicable) and
描述.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..
出版日期Book‘‘‘‘‘‘‘‘ 2021
關(guān)鍵詞Conceptual Spaces; Concept and Representation; Learning, Language and Application; Robotics and Typical
版次1
doihttps://doi.org/10.1007/978-3-030-69823-2
isbn_softcover978-3-030-69825-6
isbn_ebook978-3-030-69823-2Series ISSN 2364-4109 Series E-ISSN 2364-4117
issn_series 2364-4109
copyrightThe Editor(s) (if applicable) and The Author(s) 2021
The information of publication is updating

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Induced Maps on ,-Fold Hyperspaces,he . (i.e., .), (2) the . (i.e., .), (3) the ., and (4) the .. Given the peculiarities of the Internet of Things, we pay particular attention to (a)?. (i.e., how to establish a connection to the world), (b)?. (i.e., how to align world representations), and (c)?the . of world knowledge (i.e., how to
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Fabrizio Maturo,Francesca Fortunatics, in particular the semantics of expressions of similarity and sameness and their role in comparison and ad-hoc kind formation. The framework makes use of attribute spaces, which are well-established in AI and also in some branches of natural language semantics, e.g., frame-based approaches (Bar
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https://doi.org/10.1007/978-3-0348-7030-6se or imprecise interpretations. While the precise interpretation most prominently appears in mathematical contexts, the imprecise interpretation seems to arise when numbers (as quantities) are applied to real world contexts (e.g., .). Earlier literature shows that the (im)precise interpretation can
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https://doi.org/10.1007/978-3-030-69823-2Conceptual Spaces; Concept and Representation; Learning, Language and Application; Robotics and Typical
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