| 书目名称 | Cognitive Semantics of Artificial Intelligence: A New Perspective | | 编辑 | Alexander Raikov | | 视频video | | | 概述 | Addresses the issue of cognitive semantics’ aspects that cannot be represented by traditional digital and logical means.Discusses necessary conditions for purposeful and sustainable convergence of dec | | 丛书名称 | SpringerBriefs in Applied Sciences and Technology | | 图书封面 |  | | 描述 | This book addresses the issue of cognitive semantics’ aspects that cannot be represented by traditional digital and logical means. The problem of creating cognitive semantics can be resolved in an indirect way. The electromagnetic waves, quantum fields, beam of light, chaos control, relativistic theory, cosmic string recognition, category theory, group theory, and so on can be used for this aim. Since the term artificial intelligence (AI) appeared, various versions of logic have been created; many heuristics for neural networks deep learning have been made; new nature-like algorithms have been suggested. At the same time, the initial digital, logical, and neural network principles of representation of knowledge in AI systems have not changed a lot. The researches of these aspects of cognitive semantics of AI are based on the author‘s convergent methodology, which provides the necessary conditions for purposeful and sustainable convergence of decision-making.. | | 出版日期 | Book 2021 | | 关键词 | Artificial Intelligence; Cognitive Semantics; Convergent Methodology; Electromagnetic Waves; Quantum Fie | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-33-6750-0 | | isbn_softcover | 978-981-33-6749-4 | | isbn_ebook | 978-981-33-6750-0Series ISSN 2191-530X Series E-ISSN 2191-5318 | | issn_series | 2191-530X | | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 |
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发表于 2025-3-21 16:25:06
