Abstract
Modern Inductive Logic is an important component in inductive learning logic, which is one of the basic cognitive skills in experience knowledge acquisition. The consistency of inductive logic and inductive learning in research object and method make it possible to form inductive technique by specification on theories and methods of inductive logic on basis of cognitive mechanis. The difference between Inductive Logic and Inductive Learning in the research aim determines we should not copy the theories of Inductive Logic and should rest on Artificial intelligence and do some appropriate quotations from the theories of Modern Inductive Logic. In this paper, by combing inductive logic theory of Shindika’s probability logic System with inductive learning technique, a new learning algorithm is proposed and the corresponding machine learning system is built, and then the validity is verified by clinical cases Traditional Chinese Medicine (TCM).
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