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
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;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237506
