DocumentCode
2039256
Title
Rule-based expert system for large scale analytical simulation
Author
Lin Sun ; Peng Jiao ; Kai Xu
Author_Institution
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
fYear
2015
fDate
2-5 Aug. 2015
Firstpage
330
Lastpage
335
Abstract
Analytical simulation system can help our government makes perfect disaster rescue project. It needs high running speed and consists of multi heterogeneous agents which have different rescue knowledge. Rule-based expert system can provide a flexible and intelligent auto-decision model except low efficiency. We designed a special rule-based expert system for the analytical simulation system. The expert system provided in paper has high efficiency and it is flexible enough for users. And an example is provided at last.
Keywords
digital simulation; emergency management; expert systems; knowledge based systems; disaster rescue project; intelligent auto-decision model; large scale analytical simulation system; multiheterogeneous agents; rule-based expert system; Algorithm design and analysis; Analytical models; Cognition; Engines; Expert systems; Government; Production; Analytical Simulation; Forward Chain; Knowledge Representation; Rule-based Knowledgebase;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-7097-1
Type
conf
DOI
10.1109/ICMA.2015.7237506
Filename
7237506
Link To Document