Artificial Intuition Reasoning System (AIRS) and Application in Criminal Investigations

Abstract

Intuition is a special function of human brain, and it is an urgent task to establish a reasoning system with intuitive characteristics in the field of artificial intelligence. The purpose of this paper is to establish a formal model of intuitive reasoning based on the analysis of the characteristics of intuitive reasoning in criminal investigation. At the same time, it provides an artificial intuition model for constructing inference machine of criminal investigation. First, a novel framework of intuitive reasoning system is established based on the principles of memory mapping and perceptual inversion. Secondly, according to the fuzzy perception of experience and knowledge, a formalized criterion which accords with humans intuitive reasoning is established, namely the intuitive characteristic index. Finally, the artificial intuition reasoning model is used to analyze a crime investigation case. The results show that the reliability of this artificial intuitive reasoning system is 85% in practical application, and this intuitive reasoning process is a learning system of experience and knowledge. If this intuitive reasoning system can simulate human brain's intuitive reasoning after limited intuitive training and learning.