Author: Zen and the Art of Computer Programming
In recent years, with the wide application of Internet of Things (IoT) technology, there are more and more heterogeneous devices such as IoT devices, sensors, and terminal devices, and their complexity is also increasing. In order to cope with such massive and complex data and improve efficiency at the same time, people are increasingly inclined to adopt artificial intelligence (AI) technology. The applications based on traditional AI technology are mainly concentrated in image recognition, speech recognition, machine translation and other fields. Facing the huge computing resources, data volume and various heterogeneous devices brought by the Internet of Things era, how to use artificial intelligence technology to solve the problem? Practical problems in the real world become an important topic in the field of computer science and engineering. Therefore, this article will systematically explain the research progress of artificial intelligence technology in the era of the Internet of Things and its related technologies, and analyze it in combination with actual cases.
2. Explanation of basic concepts and terms
2.1 Understanding artificial intelligence
The term "artificial intelligence" was first proposed by Marvin Minsky, who believed that the definition of this field should be "the ability of an intelligent body to consciously think and make decisions like humans". After decades of development, artificial intelligence has gradually evolved from "things that grow out of the human head" to an independent natural science, social science and computer science, and gradually formed the research in the field of artificial intelligence. However, the current definition of artificial intelligence is still relatively vague, especially in terms of how artificial intelligence can achieve goals and solve problems. This section first gives some basic terms and definitions to help readers better understand the following content.
2.1.1 Definition
In 1956, the concept of "intelligent agent" proposed by Frederick von Lynch and Bernard Kaufmann of the Austrian School was widely accepted. They believe that intelligent agents are biological organisms that can respond to instructions. Lynch believes that an agent is an object with the following four characteristics:
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Intelligence: The agent has the ability to process information and can make accurate judgments about the environment, other people's behavior and information;
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Autonomy: when the agent completes the task, it does not