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A Discrete Event Control Based on EVALPSN Stable Model Computation.

Authors :
Ślezak, Dominik
Wang, Guoyin
Szczuka, Marcin
Düntsch, Ivo
Yao, Yiyu
Nakamatsu, Kazumi
Chung, Sheng-Luen
Komaba, Hayato
Suzuki, Atsuyuki
Source :
Rough Sets, Fuzzy Sets, Data Mining & Granular Computing; 2005, p671-681, 11p
Publication Year :
2005

Abstract

In this paper, we introduce a discrete event control for Cat and Mouse example based on a paraconsistent logic program EVALPSN stable model computation. Predicting and avoiding control deadlock states are crucial problems in discrete event control systems. We show that the EVALPSN control can deal with prediction and avoidance of control dadlock states in the Cat and Mouse by defining general rules to represent the deadlock states in EVALPSN, and is much more flexible than the previous version of EVALPSN Cat and Mouse control. We also show how to translate the control properties of the Cat and Mouse into EVALPSN. Keywords: discrete event control, EVALPSN(Extended Vector Annotated Logic Program with Strong Negation), stable model, control deadlock, paraconsistent logic program. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540286530
Database :
Supplemental Index
Journal :
Rough Sets, Fuzzy Sets, Data Mining & Granular Computing
Publication Type :
Book
Accession number :
32916478
Full Text :
https://doi.org/10.1007/11548669_69