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Process Modeling And Simulation With Peps
SPIE Proceedings, 1987PEPS is an expert system for the modeling and simulation of technical processes, whose knowledge has the features that it is gained mainly by experiments, consists out of both, quantitative and qualitative data, and depends often on estimations of experts. This is demonstrated by means of the automatic welding process.
Werner Dilger +2 more
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2010
Although simulation is typically considered as relevant and highly applicable, in reality the use of simulation is limited. Many organizations have tried to use simulation to analyze their business processes at some stage. However, few are using simulation in a structured and effective manner. This may be caused by a lack of training and limitations of
Aalst, van der, W.M.P. +3 more
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Although simulation is typically considered as relevant and highly applicable, in reality the use of simulation is limited. Many organizations have tried to use simulation to analyze their business processes at some stage. However, few are using simulation in a structured and effective manner. This may be caused by a lack of training and limitations of
Aalst, van der, W.M.P. +3 more
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2014
The simulation of random spatial data on a computer is an important tool for understanding the behavior of spatial processes. In this chapter we describe how to simulate realizations from the main types of spatial processes, including Gaussian and Markov random fields, point processes, spatial Wiener processes, and Lévy fields.
Kroese, Dirk P, Botev, Zdravko I
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The simulation of random spatial data on a computer is an important tool for understanding the behavior of spatial processes. In this chapter we describe how to simulate realizations from the main types of spatial processes, including Gaussian and Markov random fields, point processes, spatial Wiener processes, and Lévy fields.
Kroese, Dirk P, Botev, Zdravko I
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Process simulation and refinement
Formal Aspects of Computing, 1989Abstract In this paper we deal with the problem of (nondeterministic and parallel) process refinement. The basic notion of refinement is defined via the improved failure semantics of CSP [BHR84, BrR85, Hoa85, Ros88]. The concept of simulation of Communicating Systems introduced in [Mil80, Par81] is generalised and proved to be sound for the ...
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Probabilistic simulations for probabilistic processes
1994Summary: Several probabilistic simulation relations for probabilistic systems are defined and evaluated according to two criteria: compositionality and preservation of ``interesting'' properties. Here, the interesting properties of a system are identified with those that are expressible in an untimed version of the Timed Probabilistic concurrent ...
Roberto Segala, Nancy A. Lynch
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ACM SIGSIM Simulation Digest, 1972
Simulation is too often viewed as an entity: a self-contained task that could be compared with "coding" a computer program. It is more accurate and far more useful to view simulation as a continuum of tasks: a process.
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Simulation is too often viewed as an entity: a self-contained task that could be compared with "coding" a computer program. It is more accurate and far more useful to view simulation as a continuum of tasks: a process.
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Business Process Simulation Revisited
2010Computer simulation attempts to "mimic" real-life or hypothetical behavior on a computer to see how processes or systems can be improved and to predict their performance under different circumstances. Simulation has been successfully applied in many disciplines and is considered to be a relevant and highly applicable tool in Business Process Management
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Simulation of the mashing process: Dissertation
1995Mathematical models of biochemical processes during mashing were developed: the hydrolysis of starch in all-malt mashings and mashings with adjuncts, the hydrolysis of proteins, and the effects of three microbial b glucanases on the hydrolysis of b glucans.
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