DocumentCode :
468331
Title :
Matching Scenarios Patterns by Using Linear Programming
Author :
Zhao, Guoxing ; Luo, Bin ; Ma, Jixin
Author_Institution :
Univ. of Greenwich, Greenwich
Volume :
3
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
346
Lastpage :
350
Abstract :
This paper continues the work presented previously at ICNC-FSKD-05 for representing and matching scenario patterns. A unified scheme is presented to replace the two previous equivalent schemas for formalizing scenario patterns. In the unified scheme, a scenario is denoted in terms of a collection of states with the corresponding temporal constraints, where a state is defined as a set of Boolean-valued time-dependent fluents. The concept of a scenario graph is formally introduced as a directed, partially weighted and labeled simple graph. Based on such a graphical representation, an extended linear programming graph matching algorithm is proposed for recognizing scenario patterns.
Keywords :
graph theory; linear programming; pattern matching; Boolean-valued time-dependent fluents; ICNC-FSKD-05; extended linear programming graph matching; formalizing scenario patterns; graphical representation; labeled simple graph; partially weighted; scenario graph; scenario pattern recognition; scenarios pattern matching; temporal constraints; unified scheme; Artificial intelligence; Computer science; History; Linear programming; Logic; Pattern classification; Pattern matching; Pattern recognition; Process planning; Real time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.389
Filename :
4406258
Link To Document :
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