Learning Mechanism Based On Reinforcement Learning Model Of Technology Users

As a fundamental part of the NSFC project titled "Research of the Learning Behavior of Scientific and Technological Database Users in the Process of Information Searching" (No.70773054), this paper is focused on studying learning mechanism of scientific and technological database users by analyzing learning models and organizing fitting experiment.After analyzing the function of search methods of scientific and technological database, a classification system framework of search methods is proposed, and the representation system of search methods is analyzed based on symbol theory.Secondly, the cognitive mechanism for symbol system of search methods and the learning mechanism for cognitive change are analysed based on cognitive psychology, and the influence factors system framework on choosing search methods is proposed, and the learning mechanism is compared between choosing search methods and games based on game theory.Thirdly, two important reinforcement-based learning models which are BM model and RE basic model and their modified models are analyzed, including background, theory hypothesis, basic principle, verification method, experimental fitting situation, modification, applicability, and so on.The explanation and quantization of six learning models according to search methods choosing behavior is conducted after models analysis, and fitting experimental is organized. The result is that it is reasonable that exploring learning behavior of scientific and technological database users using reinfoecement-based learning models.As the first time of exploration in the related field, the research conducted in this paper also formed a solid foundation for later researchs.