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020 _a9789813367500
024 7 _a10.1007/978-981-33-6750-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_erda
_dES-MaUEC
050 4 _aQ342
_b2021 EB
100 1 _aRaikov, Alexander
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9677849
245 1 0 _aCognitive Semantics of Artificial Intelligence :
_bA New Perspective
_cby Alexander Raikov.
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XVII, 128 páginas)
_b16 ilustraciones, 7 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2
490 0 _aSpringerBriefs in Computational Intelligence
_x2625-3704
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aHistory 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.
520 3 _aThis 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.
988 _aSpringer_Robotics_2021
650 7 _aInteligencia artificial
_2embne
_9413115
650 7 _aFilosofía de la mente
_2embne
_9413170
776 0 8 _iPrinted edition:
_z9789813367494
776 0 8 _iPrinted edition:
_z9789813367517
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-6750-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2021
_dz
_eo
_zSI