An Intelligence system refers to a computer system that can generate intelligent behaviors of human beings. Intelligent system can not only run on traditional Neumann computers with self-organization and adaptability, but also run on a new generation of non-Neumann computers with self-organization and adaptability. The meaning of "intelligence" is very wide, and its essence needs to be further explored. Therefore, it is difficult to give a complete and exact definition of the word "intelligence", but it can generally be expressed as follows: intelligence is the embodiment of the higher activities of the human brain, and it should at least have the ability to automatically acquire and apply knowledge, think and reason, solve problems and learn automatically. Introduction to Chinese Name: Intelligent System mbth: Introduction to Intelligent System: Advantages of a computer system that can generate intelligent behaviors of human beings: it has the main features of self-organization and self-adaptability, types, operating systems, language systems, supporting environments, expert systems, application systems, implementation principles, actions, others, and the main features deal with objects that intelligent systems deal with, not only data but also knowledge. The ability to represent, acquire, access and process knowledge is one of the main differences between intelligent systems and traditional systems. Therefore, an intelligent system is also a system based on knowledge processing, which needs the following facilities: knowledge representation language; Knowledge organization tools; Methods and environment for establishing, maintaining and querying knowledge base; Support the reuse of existing knowledge. Intelligent systems that process results often adopt the problem-solving mode of artificial intelligence to obtain results. Compared with the solution mode adopted by the traditional system, it has three obvious characteristics, that is, its problem solving algorithm is often non-deterministic or heuristic; Its problem solving depends on knowledge to a great extent; The problems of intelligent systems often have exponential computational complexity. The problem solving methods commonly used in intelligent systems can be roughly divided into three categories: searching, reasoning and planning. Another important difference between intelligent system and traditional system is that intelligent system has the ability of on-site induction (environmental adaptation). The so-called on-site induction means that it may interact with the abstraction of the real world-the scene, and adapt to this scene. This kind of communication includes perception, learning, reasoning, judgment and corresponding actions. This is what people usually call automatic organization and automatic adaptability. Type operating system is also called knowledge-based operating system. It is a new generation operating system that supports computers, especially new generation computers. It is responsible for managing the resources of the above computers, providing users with friendly interfaces, and effectively controlling the running of programs based on knowledge processing and parallel processing. Therefore, it is one of the key technologies to realize the above computer and put it into application. Intelligent operating system will be studied by integrating operating system with artificial intelligence and cognitive science. Its main research contents are: the structure of operating system; Intelligent resource scheduling; Intelligent man-machine interface; Support distributed parallel processing mechanism; Support knowledge processing mechanism; Support multi-media processing mechanism. In order to carry out the research of artificial intelligence and cognitive science, language system requires a programming language, which allows some complex, irregular, constantly changing and unpredictable structures to be stored and processed in memory. This language is later called artificial intelligence programming language. The artificial intelligence programming language system composed of artificial intelligence programming language and its corresponding compiler (interpreter) will effectively support the writing and development of intelligent software. Compared with the fixed algorithm used in traditional programming to support data processing, the artificial intelligence programming language is characterized by supporting symbol processing and using heuristic search, including uncertain calculation steps and uncertain solution knowledge. Practical artificial intelligence programming languages include functional languages (such as Lisp), logical languages (such as Prolog) and knowledge engineering languages (Ops5), among which Lisp and Prolog and their variants are the most widely used. Lisp language is suitable for symbol processing, and its only object is symbol expression (also known as S- expression). All programs and data are composed of S- expressions, and the main control structure adopted is recursion. Prolog language is based on first-order predicate calculus. Its data structure is items, all programs and data are composed of items, and recursion is also its main control structure. In addition, Prolog can automatically realize pattern matching and backtracking. Supporting environment is also called knowledge-based software engineering auxiliary system. It makes use of a large amount of expertise closely related to the domain of software engineering, and provides opinions and suggestions with the level of software engineering experts for some difficult and complicated software development and maintenance activities. Intelligent software engineering support environment has the following main functions: supporting the whole life cycle of software system; Activities to support the production of software products; As a software engineering agent; As a public environmental knowledge base and information base facility; Summarize and learn from different projects and apply it to subsequent software production activities. Expert system Expert system is a kind of computer software that helps human experts solve problems in limited but difficult real world fields, among which the intelligent expert system is called intelligent expert system. It has the following basic characteristics: it can not only help in computing-based tasks, such as numerical calculation or information retrieval, but also help in tasks that require reasoning. This field must be an area where human experts can solve problems; Its reasoning is modeled after the reasoning of human experts; Not only the representation of the processing field, but also the representation of its own, internal structure and function; The limited interface of natural language communication enables human experts to use it directly; With learning function. Application system refers to the application system developed by using artificial intelligence technology or knowledge engineering technology in a certain application field. Obviously, with the development of artificial intelligence or knowledge engineering, such systems are also increasing. Intelligent application system is one of the major advances in artificial intelligence. Principle of Implementation Intelligent system includes hardware and software. In practical application, it needs the close combination of hardware and software to complete the work more efficiently. Hardware consists of processor (CPU), memory (memory, hard disk, etc.), display device (monitor, projector, etc.), input device (mouse, keyboard, etc.), sensing device (sensor, sensor, scanner, etc.) and other components. In terms of hardware configuration, the hardware devices of intelligent system can be customized according to requirements to meet different needs. In practical application, the common hardware devices are industrial computers, intelligent terminals and other products. In terms of software, there are many programming languages to choose from, such as C, C++, VB, JAVA, Delphi, etc. These computer languages can write software applications needed by intelligent systems, and then implant them into hardware devices for testing and optimization, and cooperate with hardware to complete specific functions. Mobile Decryption Intelligence An intelligent system based on Windows Embedded makes data flow throughout the enterprise infrastructure, including devices that collect data from employees and customers to background data processing systems that transform data into opinions and actions and create more business value. Learn how to find hidden business value and use the resources on this page to enhance the competitive advantage for your organization. Then register to learn more or contact a Microsoft solution expert to help you create an intelligent system that is right for your business. Extending Windows and Cloud to Specialized Devices Abel Sanchez, Professor of MIT Geospacial Data Center, Kevin Dallas, General Manager of Windows Embedded, and Yousef Khalidi, Outstanding Engineer of Windows Azure * * * discussed "Internet of Things" and how Microsoft can extend Windows and Cloud technology to specialized devices. Other Windows Embedded what is Windows Embedded? Windows Embedded extends Windows functions and cloud to intelligent systems. Windows Embedded includes operating system, tools, systems and services, which enables enterprises to access executable data anytime and anywhere, thus gaining real-time advantages. Microsoft has entered the embedded market for more than 15 years, and will continue to lead the evolution to an intelligent system with a wide range of technologies for enterprises in many industries. From portable ultrasonic detectors to GPS devices, from ATMs to devices supporting large construction machinery, thousands of embedded devices are built with Windows Embedded products. With comprehensive functions, easy-to-use tools, free evaluation toolkits and access to large-scale community support networks, Windows Embedded helps to speed up product launch and reduce embedded development costs. Major customers include OEMs, enterprises and service providers who choose to integrate seamlessly with Microsoft infrastructure and the following services: management, security and reputation: update, upgrade, remote service, configuration and data synchronization: device to cloud, device to PC, Device-to-device, usage analysis, location service, advertising service, business intelligence and business applications, and device signage: The main advantages of Windows Embedded platform. Various Windows Embedded products (including component products and off-the-shelf products) provide great flexibility for embedded developers to build and manage a variety of devices on a single platform, including interconnected devices, kiosks, point of sale, digital signage, communication equipment and peripherals. As a single platform from devices to IT infrastructure and cloud computing, Windows Embedded platform simplifies the connection between service points and Windows-based enterprise IT systems, including CRM, inventory, sales tools and business intelligence. Windows Embedded developers can access the latest Windows 7 for Embedded Systems features, including BitLocker &; reg; Drive encryption and advanced Windows touch technology and power management. Window Embedded is a safe investment, and Microsoft support department will provide you with support and extend the supply period; We have established a network of partners around the world. These partners have relevant professional knowledge and experience, and can provide complementary products, so that you can get unparalleled design and construction support. Windows Embedded is based on the long-term partnership between Microsoft and the market leaders in retail and catering industry, and we have always been committed to promoting the continuous innovation of retail solutions. Windows Embedded Series Intelligent System Windows Embedded Compact 7 Windows Embedded Compact 7 (formerly known as CE) improves the interaction between people and interconnected devices through this real-time operating system suitable for consumer and enterprise devices with small space occupation. Windows Embedded Standard 7 SP1 Windows Embedded Standard 7 SP1 (formerly known as XPe) uses this complete modular version of advanced commercial and consumer devices designed to make full use of Windows applications and drivers, and releases the powerful functions of Windows 7 technology. Windows Embedded POSReady 7 (next generation WEPOS) is suitable for retail enterprises seeking to develop in-store transaction processing equipment into cutting-edge Point of Service equipment that can enhance customer experience and enhance customer loyalty. Windows Embedded Device Manager 2111 enables enterprises to deploy, evaluate and update Windows Embedded devices by extending the functions of System Center Configuration Manager 2117, and provides a single management solution, thus enhancing the understanding and control of IT infrastructure and systems. Windows Embedded Enterprise uses a fully functional version of the Windows desktop operating system to support a series of dedicated interconnected devices that require Windows application compatibility and custom user interface. Windows Embedded Automotive 7 aims at communication, entertainment, navigation and connectivity services, and realizes a rich in-vehicle experience through this extensible and innovative platform. Windows Embedded Server uses this operating system to provide best-in-class server solutions and equipment for medical imaging, security, industrial automation and telecommunications industries. Microsoft SQL Server for es Microsoft SQL server for embedded systems, which provides the same cutting-edge server equipment including this operating system, is designed for an embedded solution composed of specially customized hardware and application software running Windows Embedded Server operating system. Windows Embedded Thin Client uses a powerful, familiar and reliable Windows operating system to bring the next generation of thin client devices to market faster. Windows Embedded Handheld 6.5 uses this standard software platform based on Windows Mobile 6.5 to develop durable mobile devices for retail, field mobility, transportation and medical care.