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Cooperative Expert System Based on Extended Intelligence: A New Application of Criminal Investigation

DOI: 10.5729

Keywords: CIESs , Extended intelligence , Intuition learning system , KMIP cooperative intuition reasoning.

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Abstract:

Based on the theoretical research and actual developing status of expert system in theChina, this paper discusses hot spots in the development of criminal investigation expert systems(CIESs). The objective of this research is to analyze virtual intuition-learning environments and todiscuss a method for cooperative expert system (CES) based on the theory of extended intelligence.In this paper, a literature review in application of expert system is done, and the technology aspectof expert system is to be analyzed. Also, general design principles are to be reviewed. According toall these issues, recommendations to designing an intuition-learning environment for trusted humancomputercooperative system are going to be analyzed and proposed. In particular, this paperpresents a knowledge mapping intuitive inversion principle (EMII), and it describes the rationale fordeveloping the CIESs. A series of elicitation sessions which epitomize the CES have been discussedin the paper. After presenting an overview of the system and the major research choices, the paperdescribe in detail the system’s modules and present examples of its potential

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