Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Torta, Gianluca | Torasso, Pietro
Affiliations: Dipartimento di Informatica, Università di Torino, Torino, Italy. E-mails: {torta, torasso}@di.unito.it
Abstract: In the present paper we address the problem of automatically abstracting the behavioral modes of system components on the basis of their indiscriminability in a diagnostic setting. Our goal is to abstract the original model in such a way as to provide more informative results to the supervisor, without loosing any relevant diagnostic information. This paper extends and complements existing work on automatic abstraction in MBD in different directions: we propose a framework to integrate different parameters (system observability, context restriction and status restriction) that can influence the abstractions; we develop an algorithm for the computation of abstractions that can take advantage of the symbolic compilation of the system model for giving both theoretical guarantees about the computational cost and good experimental performance on non-trivial domains; finally, we discuss the properties of the abstractions resulting by the combination of a-priori, user-provided abstractions with the ones automatically computed by our algorithm.
Keywords: Model-based diagnosis, abstraction, model compilation
DOI: 10.3233/AIC-2009-0444
Journal: AI Communications, vol. 22, no. 2, pp. 73-96, 2009
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl