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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 2003 . Peer-reviewed
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The Computable Kernel of ASM

Authors: Wolfgang Reisig;

The Computable Kernel of ASM

Abstract

A rich variety of system models for sequential, deterministic systems has been suggested during recent decades, including automata, process algebras, many versions of Petri Nets, and models to describe the semantics of Programming languages. All models for sequential, deterministic systems assume a set S of states, or configurations, and a next state function υ: S → S. This yields computation sequences S 0 S 1 S 2⋯ with S i= υ (S i-1 ). One usually assumes a finite, symbolic representation of states. The next state function υ is usually computable on this representation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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