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Integrated Human-Machine Intelligence

Wei Liu
pubblicato da Elsevier Science

Prezzo online:
145,07
161,20
-10 %
161,20

Integrated Human-Machine Intelligence: Beyond Artificial Intelligence focuses on deep situational awareness in human-computer integration, covering the interaction and integration mechanisms of human intelligence, machine intelligence and environmental systems. The book also details the cognitive, philosophical, social, scientific and technological, and military theories and methods of human-computer division, cooperation and collaborative decision-making to provide basic theoretical support for a development strategy in the field of national intelligence. Sections focus on describing a new form of intelligence produced by the interaction of human, machine and environmental systems which will become the next generation of AI.

From the perspective of deep situational awareness in human-computer integration, the book studies the interaction and integration mechanisms of human intelligence, machine intelligence and environmental systems. In addition, it details the cognitive, philosophical, social, scientific and technological, and military theories and methods of human-computer division, cooperation and collaborative decision-making, so as to provide basic theoretical support for a development strategy in the field of national intelligence.

  • Summarizes the key ideas of computing, perception, cognition and insight into intelligence
  • Provides intelligent omni-directional multi-angle stereo understanding, including the relevant basic concepts and the realization process of intelligence
  • Proposes the concept, definition and framework of deep situational awareness, which is conducive to the realization and development of man-machine integrated intelligent systems
  • Outlines the essence of intelligence, such as facts and values, reason and sensibility, contradiction and balance, etc.

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Generi Scienza e Tecnica » Ingegneria e Tecnologia » Scienza, ingegneria e tecnologia ambientale

Editore Elsevier Science

Formato Ebook con Adobe DRM

Pubblicato 07/01/2023

Lingua Inglese

EAN-13 9780323995634

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