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Intelligent System Implementation Principle
Oct 24, 2017

An intelligent system is a computer system that produces human intelligence behavior. The intelligent system is not only self-organizing and adaptive to run on the traditional Neumann's computer, but also self-organizing and adaptively running on a new generation of non-Neumannian computers. The meaning of "intelligence" is very broad and its essence needs to be further explored. Thus, it is difficult to give a complete and definite definition of the word "intelligence", but it can be said that intelligence is a higher activity of the human brain , It should have at least the ability to automatically acquire and apply knowledge, the ability to think and reason, the ability to solve problems and the ability to automatically learn.

Key features

Processing object

Intelligent system to deal with the object, not only data, but also knowledge. The ability to acquire, access and process knowledge is one of the main differences between intelligent systems and traditional systems. Thus, an intelligent system is also a knowledge-based system that requires the following facilities: knowledge representation language; knowledge organization tools; methods and environments for building, maintaining and querying knowledge bases; and supporting reuse of existing knowledge.

process result

Intelligent systems often use artificial intelligence to solve the problem to obtain the results. Compared with the solution model adopted by the traditional system, there are three obvious characteristics, that is, the problem solving algorithm is often non-deterministic or heuristic; its problem solving is largely dependent on knowledge; the problem of intelligent system is often Has the computational complexity of exponential. Intelligent systems usually use the problem solving method can be divided into search, reasoning and planning three categories.

The difference between intelligence and tradition

Another important difference between an intelligent system and a traditional system is that the intelligent system has the capability of field sensing (environmental adaptation). The so-called on-site induction means that it may interact with the real world's abstraction - the scene - and adapt to this scene. Such contacts include perception, learning, reasoning, judgment and making the appropriate action. This is what is commonly referred to as automatic organization and automatic adaptability.

Implementation principle

Intelligent system includes hardware and software in two parts, in the actual application of the need for close integration of hardware and software in order to more efficient work.

Hardware, etc., by the processor (CPU), memory (memory, hard disk, etc.), display devices (monitors, projectors, etc.), input devices (mouse, keyboard, etc.), induction devices (sensors, sensors, scanners, Components, hardware configuration can be based on the needs of the intelligent system hardware equipment to customize to meet the different needs. In the actual application of the more common hardware devices are industrial computers, intelligent terminals and other products.

There are many programming languages available in the software, C, C ++, VB, JAVA, Delphi, etc. These computer languages can write the software applications needed by the intelligent system and then implant them into the hardware device for testing, tuning, and Hardware to complete a specific function.


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