By Zhongzhi Shi
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Extra resources for Advanced Artificial Intelligence
Logic is a primary tool in the study of computer science as well as in the study of artificial intelligence. It is widely used in many domains, such as the semasiology, the logic programming language, theory of software specification and validation, theory of data base, theory of knowledge base, intelligent system, and the study of robot. Objective of the computer science is essentially coincident with the goal of logic. On the one hand, the objective of the computer science is to simulate with the computer the function and behaviour of the human brain, and bring the computer to be an extension of the brain.
Therefore, the methods and results obtained in logic are also useful for the study of knowledge in the artificial intelligence. The ability of representation and the performance of reasoning are a pair of contradictions for any logic system applied to intelligent systems. A trade-off between such a pair is often necessary. The logic applied in majority of logic-based intelligent systems is first order logic or its extensions. The representation ability of first order logic is so strong that many experts believe that all the knowledge representation problems arising in the research of artificial intelligence can be carried out within the framework of first order logic.
Research on machine learning not only enables machines to automatically acquire knowledge and obtain intelligence, but also uncovers principles and secrets of human thinking and learning, and even helps to improve the efficiency of human learning. Research on machine learning also has a great impact on memory storage patterns, information input methods and computer architectures. Environment Learning Knowledge Base Performing Feedback Fig. 2. Simple model of learning(Simon, 1983) Research in machine learning roughly experienced four stages.