Title :
Interactive Intelligent Analysis Method: An Application of Criminal Investigation
Author :
Qu, Zengtang ; He, Ping
Author_Institution :
Dept. of Inf., Liaoning Police Acad., Dalian, China
Abstract :
Based on the theoretical research and actual developing status of artificial intelligence and expert system, this paper discusses several issues in the development of criminal investigation intelligent system. Research shows that knowledge Mapping-intuition Inversion Principle (KMIIP) is an important tool to develop intelligent system. It is indicated in this paper that the combination of the interactive cooperative algorithm and fuzzy automatic inference can produce a knowledge mapping-intuition inversion learning system. And the process of the automatic reasoning of computer investigation is described based on the KMII principle.
Keywords :
cooperative systems; criminal law; fuzzy reasoning; interactive systems; learning systems; artificial intelligence; automatic reasoning; criminal investigation intelligent system; expert system; fuzzy automatic inference; interactive cooperative algorithm; interactive intelligent analysis method; knowledge mapping-intuition inversion principle; learning system; Artificial intelligence; Expert systems; Humans; Information analysis; Intelligent systems; Knowledge management; Layout; Psychology; Research and development; Ubiquitous computing; identification; interactive cooperative reasoning; intuition concept space; intuition mapping; knowledge inversion;
Conference_Titel :
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3619-4
DOI :
10.1109/IUCE.2009.62
