Egon Börger (auth.), Yuri Gurevich, Philipp W. Kutter,'s Abstract State Machines - Theory and Applications: PDF

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

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

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Levy, and D. Suciu. Catching the boat with Strudel: Experiences with a Web-site management system. SIGMOD Record, 27(2):414–425, 1998. Proceedings ACM SIGMOD International Conference on Management of Data. 13. Y. Gurevich. Evolving algebras: An attempt to discover semantics. Bulletin of the European Association for Theoretical Computer Science, 43:264–284, 1991. 14. Y. Gurevich. Evolving algebra 1993: Lipari guide. In E. B¨ orger, editor, Specification and Validation Methods, pages 9–36. Oxford University Press, 1995.

Springer-Verlag, 1984. 12. M. Fern´ andez, D. Florescu, J. Kang, A. Levy, and D. Suciu. Catching the boat with Strudel: Experiences with a Web-site management system. SIGMOD Record, 27(2):414–425, 1998. Proceedings ACM SIGMOD International Conference on Management of Data. 13. Y. Gurevich. Evolving algebras: An attempt to discover semantics. Bulletin of the European Association for Theoretical Computer Science, 43:264–284, 1991. 14. Y. Gurevich. Evolving algebra 1993: Lipari guide. In E. B¨ orger, editor, Specification and Validation Methods, pages 9–36.

Every dynamic function name has an associated arity r, and thus has, at any stage of the computation, an interpretation (which can be updated in later stages) as a function from (D ∪ HF(D))r to D ∪ HF(D). The extent of such a function f is the set {(¯ x, f (¯ x)) | x ¯ ∈ (D ∪ HF(D))r and f (¯ x) = ∅}. At any stage of the computation, the extent of the interpretation of any dynamic function will be finite. A number of static functions, which cannot be updated, are predefined: The relations of the input structure are given as boolean functions.

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