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Part of book or chapter of book . 2003 . Peer-reviewed
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The Hidden Computation Steps of Turbo Abstract State Machines

Authors: Fruja, Nicu Georgian; Stärk, Robert F.;

The Hidden Computation Steps of Turbo Abstract State Machines

Abstract

Turbo Abstract State Machines are ASMs with parallel and sequential composition and possibly recursive submachine calls. Turbo ASMs are viewed as black-boxes that can combine arbitrary many steps of one or more submachines into one big step. The intermediate steps of a turbo ASM are not observable from outside. It is not even clear what exactly the intermediate steps are, because the semantics of turbo ASMs is usually defined inductively along the call graph of the ASM and the structure of the rule bodies. The most important application of turbo ASMs are recursive algorithms. Such algorithms can directly be simulated on turbo ASMs without transforming them into multi-agent (distributed) ASMs. In this article we analyze the hidden intermediate steps of turbo ASMs and characterize them using PAR/SEQ trees. We also address the problem of the reserve in the presence of recursion and sequential composition.

Country
Switzerland
Related Organizations
Keywords

Data processing, computer science, RECURSIVE FUNCTIONS (CONTROL SYSTEMS THEORY); REKURSIVE FUNKTIONEN (THEORIE DER REGELUNGSSYSTEME); PROGRAMS AND ALGORITHMS FOR THE SOLUTION OF SPECIAL PROBLEMS; ABSTRACT DEVICES + UNIVERSAL MACHINES (THEORETICAL COMPUTER SCIENCE); PROGRAMME UND ALGORITHMEN ZUR LÖSUNG SPEZIELLER PROBLEME; ABSTRAKTE MASCHINEN + UNIVERSELLE MASCHINEN (THEORETISCHE INFORMATIK), info:eu-repo/classification/ddc/004

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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!
8
Average
Top 10%
Top 10%