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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 Artificial Intelligence (AI).
Existing Artificial Intelligence is basically formalized factual calculation and lacks intentional value calculation, so it only solves a tiny part of the intelligence problem—part of the automation, which is far away from the expected intelligence... This is because Artificial Intelligence or automation only solves external problems of input, processing, and output, but ignores more important internal input, processing, and output problems.
The theory of human-machine hybrid intelligence focuses on a new form of intelligence produced by the interaction of human, machine, and environments. It is not only different from human intelligence but also different from Artificial Intelligence. It is a new generation of intelligent scientific systems with a combination of physics and biology. Human-machine interaction technology mainly involves the physiologic and psychologic ergonomics below the human neck, while human-machine hybrid intelligence mainly focuses on the intelligent problem of the combination of the brain above the human neck and the “calculation” of the machine. Human-machine hybrid intelligence is different from human intelligence and Artificial Intelligence in the following three aspects. Firstly, at the intelligent input end, the idea of human-machine hybrid intelligence does not individually rely on the objective data collected by hardware sensors or the subjective information perceived by human facial features, but it effectively combines the two and forms a new input mode with the prior knowledge of contacts. Secondly, in the stage of information processing (an important stage of intelligence generation), a new way of understanding is constructed by integrating people's cognitive style with the computing power of the calculation.
Finally, at the output end of intelligence, the value effect embodied in people's decision-making is added to the calculation's gradual iterative algorithm, and by matching them to each other, an organic and probabilistic optimization judgment could be formed. In the continuous adaptation of human-machine integration, people will consciously think about inertial common sense behavior, and machines will find the difference of value weight from people's decisions under different conditions. The understanding between humans and machines will change from one-way to two-way understanding, and human initiative will be mixed with machine passivity. People deal with the subjective information of “should” and other value orientations they are good at, while machines not only deal with the objective data of “be” and other regular probabilities they are good at, but also optimize their own algorithms from people's processing of “should” information, to produce the effect of “people machines” which is both greater than people and greater than machines.
The human-machine hybrid adopts a layered architecture. Human beings analyze and perceive the external environment to form intentional thinking through their acquired cognitive ability. Their cognitive process can be divided into several parts: memory layer, meaning layer, decision-making layer, perception and behavior layer. The machine perceives and analyzes the external environment by detecting data. Its cognitive process has a target layer, knowledge base, task planning layer, and perception and execution layer, forming formal thinking. The same architecture indicates that humans and machines can fuse at the same level, and causality can also occur at the same level or among different levels. Man-machine integration intelligence, in short, is to make full use of the advantages of man and machine to create a new form of 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.
Table of Contents:
Preface
Chapter 1. The essence of intelligence
Chapter 2. Human-machine hybrid intelligence: standing on the shoulders of intelligence
Chapter 3. The essence of intelligence is not data, algorithms, computing power, or knowledge
Chapter 4. Three hurdles through which Artificial Intelligence cannot go
Chapter 5. Military intelligence
Chapter 6. Research on the application of antiartificial intelligence in the military field
Chapter 7. Deep situation awareness
Chapter 8. The problem of autonomy
Chapter 9. Reflection on human-machine hybrid intelligence
Chapter 10. Rethinking intelligence of human-machine hybrid
Chapter 11. Human wisdom and artificial intelligence
Postscript
Index