Modeling and analysis of dependable systems : a probabilistic graphical model perspective

著者

書誌事項

Modeling and analysis of dependable systems : a probabilistic graphical model perspective

Luigi Portinale, Daniele Codetta Raiteri

World Scientific, c2015

  • hbk

大学図書館所蔵 件 / 1

この図書・雑誌をさがす

注記

Includes bibliographical references (p. 235-246) and index

内容説明・目次

内容説明

The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages.Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems.

「Nielsen BookData」 より

詳細情報

ページトップへ