Cognitive semantics of artificial intelligence a new perspective / [electronic resource] :

• 作者： Raikov, Alexander.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • SpringerBriefs in applied sciences and technology.
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 叢書名： SpringerBriefs in applied sciences and technology, Computational intelligence
• 主題： Soft computing. , Artificial intelligence. , Computational Intelligence. , Artificial Intelligence. , Philosophy of Mind.
• ISBN： 9789813367500 (electronic bk.) 、 9789813367494 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
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• 摘要註: 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.
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