Department of Information, Liaoning Police Academy Dalian, Liaoning, 116036 China

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Abstract—The theory of intuition learning is briefly reviewed and a model of the learning process is presented. The paper then discusses and characterizes an Interactive Intuition Learning System (IILS) and its relationship to experiential learning and learning pattern. From the initial intuition decision system defined by the experience judgment, a series of learning interval-systems with various experience levels are created. Firstly, human intuitive decision making gotten by the learning approach of selforganization of intuition decision processing, and the concept mapping of selection of knowledge and experience is established by artificial intuition method based on the decision trait of human intuition. Finally, an artificial intuition method combined with self-organization method of intuition computing is proposed according to the amelioration of the intuition computing. Experiment proves that the Intuition Concept Space and the interactive mapping intuition pattern inversion (IMIPI) approach are feasible. A prototype for a intuition learning environment designed and built by the author is then discussed along with its application in the design of a crime analysis for learning electrical circuits.

Index Terms—experiential learning, interactive optimum, IMIPI, intuition concept space, crime knowledge management

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Cite: Ping He, " Design of Interactive Learning System Based on Intuition Concept Space," Journal of Computers vol. 5, no. 3, pp. 479-487, 2010.