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Cognitive semantics of artificial in...

Raikov, Alexander.

Cognitive semantics of artificial intelligencea new perspective /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cognitive semantics of artificial intelligenceby Alexander Raikov.
其他題名:	a new perspective /
作者:	Raikov, Alexander.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xvii, 128 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Soft computing.
電子資源:	https://doi.org/10.1007/978-981-33-6750-0
ISBN:	9789813367500$q(electronic bk.)

Cognitive semantics of artificial intelligencea new perspective /
Raikov, Alexander.

Cognitive semantics of artificial intelligencea new perspective /[electronic resource] :by Alexander Raikov. - Singapore :Springer Singapore :2021. - xvii, 128 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology, Computational intelligence. - SpringerBriefs in applied sciences and technology.Computational intelligence..

History of Knowledge -- Philosophy of Knowledge -- Nonlogic Thought -- Hidden Consciousness -- Formalized Semantics -- Cosmomicrophysical Thinking -- Nonlocal Brainstorming -- Purposeful Creativity -- Cognitive Structures -- Quantum Semantics -- Optical Semantics -- Wave of Consciousness -- Entanglement of Thought -- Thought Event -- Thought Boosts -- Purposeful Chaos -- Dissipative Thought -- Purposefulness of Thought -- Small Impacts -- Light Thought -- Quantization of Thought -- Thought Interferometry -- Architecture of AI Semantics -- Applications.

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.

ISBN: 9789813367500$q(electronic bk.)

Standard No.: 10.1007/978-981-33-6750-0doiSubjects--Topical Terms:

182083
Soft computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

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