Download e-book for iPad: Abstract State Machines - Theory and Applications: by Egon Börger (auth.), Yuri Gurevich, Philipp W. Kutter,

By Egon Börger (auth.), Yuri Gurevich, Philipp W. Kutter, Martin Odersky, Lothar Thiele (eds.)

ISBN-10: 3540679596

ISBN-13: 9783540679592

This ebook constitutes the completely refereed post-proceedings of the foreign Workshop on summary kingdom Machines, ASM 2000, held in Monte Verita, Switzerland in March 2000.
The 12 revised complete papers awarded have been rigorously reviewed and chosen from 30 submissions. additionally incorporated are an introductory assessment, studies on commercial ASM functions, in addition to six contributions according to invited talks. All in all, the quantity appropriately offers the state-of-the-art in examine and functions of summary country machines.

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Additional resources for Abstract State Machines - Theory and Applications: International Workshop, ASM 2000 Monte Verità , Switzerland, March 19–24, 2000 Proceedings

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Paredaens. The expressive power of complex values in object-based data models. Information and Computation, 120:220–236, 1995. 19. J. Van den Bussche, D. Van Gucht, M. Andries, and M. Gyssens. On the completeness of object-creating database transformation languages. Journal of the ACM, 44(2):272–319, 1997. On Verification of Refinements of Timed Distributed Algorithms J. Cohen1 and A. Slissenko1,2 1 UniversityParis-12 Dept. of Informatics 61 Av. du G´en. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences Abstract.

Such a definition was elaborated for another type of GASM in [4]. Given an algorithm A, an interpretation of sorts and values of inputs satisfying IniState for t = 0, an execution of A for these inputs defines the values of its internal functions ρ(t) at least for some prefix T0 of T that together with the inputs constitute a complete run {ρ(t)}t∈T0 of the algorithm. Together with ρ we will define other notions, either auxiliary or giving more detailed information on the execution of the algorithm to use them in the analysis of refinements.

A weaker notion of polynomial time simulation could be defined, allowing a polynomial overhead also for running time, but we will not need to consider this weaker notion as we will be able to obtain positive results for our stronger notion. We can show (proof omitted): Theorem 2. Every while sets new program can be linear-step, polynomial-space simulated by a BGS program. 2 Simulating BGS in while sets new To simulate BGS in while sets new , we need some way to represent hereditarily finite sets by invented elements.

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Abstract State Machines - Theory and Applications: International Workshop, ASM 2000 Monte Verità , Switzerland, March 19–24, 2000 Proceedings by Egon Börger (auth.), Yuri Gurevich, Philipp W. Kutter, Martin Odersky, Lothar Thiele (eds.)


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