This article is from WeChat official account:Tengyun (ID: tenyun700)< span class = "text-remarks">, author: Liu Wei ( intelligent human-machine integration experts, professors Beijing University of posts), drawing from the head : Visual China

“In the future intelligent network, the game situation is highly complex and rapidly changing. Various kinds of information converge to form massive amounts of data, which cannot be processed quickly and accurately by the human brain alone.” According to Liu Wei, a human-computer fusion intelligence expert and a post professor at Beijing University of Posts and Telecommunications , With the continuous development of intelligence and the massive use of intelligent equipment, the traditional network form and operation mechanism will be greatly subverted.

He pointed out, “Only the operation mode of man-machine integration is based on technology clusters such as elastic databases, the Internet, the Internet of Things, and the Internet of Vehicles. The system (human + machine +Environment) in order to cope with the ever-changing task situation and complete the scheduling control task.”

This highlights the importance of research on “Future Intelligent Networks”.

In December 2020, Ma Huateng, Chairman and CEO of Tencent, also mentioned the concept of “True Internet”. In his view, “This is a process from quantitative change to qualitative change. It means the integration of online and offline, the integration of physical and electronic means.“

From the Internet, the Internet of Things to the True Internet, the upgrading and evolution of the “network” in different eras will have a profound impact.

The world is interconnected by many things, and it is full of various relationships. It is these relationships and relationships that constitute life, life, and ecology, and they continue to nurture intelligence, network, meaning, Responsibility, power, freedom, equality, intention, autonomy and other abstract concepts and categories.

With the development of a new generation of artificial intelligence technologies such as deep learning and reinforcement learning, it has made great breakthroughs in computer vision, speech recognition, natural language processing, biomedical fields, and game games. Artificial intelligence is used in digital networks. Field applications have become more extensive, giving birth to the concept of future intelligent networks.

The continuous development of intelligence, the massive use of intelligent equipment, does not>

people’s problem

The issue of “cross-domain collaboration” is fundamentally a “human issue”. The methods of “Internet”, “Internet of Things”, “Internet of Vehicles” and “True Internet” to solve the problem of “cross-domain collaboration” can be summarized in two terms.

The first is aggregation(convergence), that is, “to achieve a certain intention across time and physical space Capability integration of domain, environment and function”;

The second is system integration(integration of systems), not only focusing on the realization of “cross-domain collaboration” The people, objects and processes of the company also attach importance to technical solutions. Up to now, “cross-domain collaboration” has not yet recognized that the current system and listing projects are “chimney-style” independent of each other, and cross-domain mobility and connectivity require “human” solutions.

With the maturity of technologies such as automation, machine learning, artificial intelligence, and new networks, people will further seek to apply these technical capabilities to further challenge the deficiencies of traditional networks, break the existing “chimney” scheme, and design someone behind It is the responsibility of the future intelligent network to support the new plan of the machine environment system engineering.

Whether looking at the past and present, or looking forward to the future, all kinds of network equipment or systems are always a man-machine-environment system.

Whether it is now or in the future, various transportation equipment such as drones, unmanned vehicles, and unmanned boats cannot be completely unmanned. It is just that people change from front to rear, and from physical strength. It is wisdom, from specific execution to scheduling control, which involves complicated human-computer interaction and their mutual relations. Neither artificial intelligence nor human intelligence can make it play the most effective. The mixing of human-computer intelligence is important. Direction of development.

To be precise, the future intelligent network not only includes natural sciences and engineering technology, but also involves many fields of social sciences, such as humanities, philosophy, religion, and even art, etc. This is based on Wittgenstein’s famous book-“Philosophy of Logic The first sentence in “On” can be seen: The world is made up of facts (that is, contact)

The main problem with the human-machine integration decision-making mechanism is: the lack of a personalized intelligent decision-making mechanism based on human-machine communication.

Human styles vary greatly, and the intelligent system that can achieve efficient human-machine collaboration must be a personalized intelligent system. “Individualized” intelligent systems are not simply the adaptation and accommodation of machines to human habits, but a framework and mechanism for human-machine communication should be established. Systematic decision-making suggestions may be complementary to human thinking, or they may be completely opposite to human scheduling control style. Through continuous practice, feedback is obtained, human-computer fusion decision-making ability obtains iterative development, and finally a personalized auxiliary decision-making system is achieved. Optimal match with machine and environmental system network.

Artificial intelligence is only a descriptive and programmable part of human intelligence, and human intelligence is human and machine(thing), the product of the interaction of environmental systems.

The mechanism of intelligent generation, in short, is the superimposed result of the interaction of the characters(mechanical artifacts) environmental systems. The situation, situation and trend (abbreviated as potential) derived from the superimposition of the changing states of, machines, and various environments together constitute the state of the three changes There are good and bad, high and low, pros and cons, and the generation of intelligence is determined by the degree of harmony and resonance of the state and situation in the human, machine, and environmental system. The three are constructive and destructive. The effect of sexual interference may be enhanced or eliminated. The trinity is strong in intelligence, and the three in multiple bodies is weak in intelligence. How to tune the common frequency is the key to the integration of human and machine intelligence.

Contemporary artificial intelligence has developed from the initial fully artificially compiled machine automation to artificially pre-compiled machine learning. The next development may be to realize machine cognition through the integration of human and machine intelligence, and finally realize machine awakening.

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