Formal Methods for Computational Systems Biology: 8th International School on Formal Methods for the Design of Computer, Communication, and Software . (Lecture Notes in Computer Science, 5016)

ISBN 10: 3540688927 / ISBN 13: 9783540688921

Published by Springer, 2008

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Seller Inventory # I-9783540688921

Bibliographic Details

Title: Formal Methods for Computational Systems ...

Publisher: Springer

Publication Date: 2008

Binding: Soft cover

Condition: New

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Synopsis:

This volume presents the set of papers accompanying the lectures of the eighth International School on Formal Methods for the Design of Computer, Com- nication, and Software Systems (SFM). Thisseriesofschoolsaddressestheuseofformalmethodsincomputerscience asaprominentapproachtotherigorousdesignofcomputer,communication,and software systems. The main aim of the SFM series is to o?er a good spectrum of current research in foundations as well as applications of formal methods, which can be of help for graduate students and young researchers who intend to approach the ?eld. SFM 2008 was devoted to formal techniques for computational systems - ology and covered several aspects of the ?eld, including computational models, calculi and logics for biological systems, and veri?cation and simulation me- ods. Theschoolfeatured not onlyregularlectures, but also talksgivenby people involvedinthe ItalianresearchprojectonBio-InspiredSystems andCalculiwith Applications (BISCA). The ?rst partof this volume comprises nine papers basedon regularlectures. The paper by Degasperi and Gilmore describes the application of sensitivity analysistechniques to stochastic simulation algorithms. Talcott's paper presents pathway logic, an approach to modeling and analysis of biological processes based on rewriting logic. Fages and Soliman study reaction graphs and acti- tion/inhibition graphs used by biologists through formal methods originating from programming theory. The paper by Maus, John, R.. ohl, and Uhrmacher d- cusses categories, abstraction hierarchies, and composition hierarchies playing a role in modeling and simulation for computational biology. Gillespie's paper - views the theory of stochastic chemical kinetics and several simulation methods that are based on that theory.