Interactive Intelligent Analysis Method: An Application of Criminal Investigation

Author

Qu, Zengtang ; He, Ping

Author_Institution

Dept. of Inf., Liaoning Police Acad., Dalian, China

fYear

2009

fDate

15-16 May 2009

Firstpage

152

Lastpage

155

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Ubiquitous Computing and Education, 2009 International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-0-7695-3619-4

Type

conf

DOI

10.1109/IUCE.2009.62

Filename

5223268