On the Approximation of Stochastic Concurrent Constraint Programming by Master Equation
We explore the relation between the stochastic semantic associated to stochastic Concurrent Constrain Programming (sCCP) and its fluid-flow approximation. Writing the master equation for a sCCP model, we can show that the fluid flow equation is a first-order approximation of the true equation for th...
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| Vydáno v: | Electronic notes in theoretical computer science Ročník 220; číslo 3; s. 163 - 180 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier B.V
12.12.2008
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| Témata: | |
| ISSN: | 1571-0661, 1571-0661 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | We explore the relation between the stochastic semantic associated to stochastic Concurrent Constrain Programming (sCCP) and its fluid-flow approximation. Writing the master equation for a sCCP model, we can show that the fluid flow equation is a first-order approximation of the true equation for the average. Moreover, we introduce a second-order correction and first-order equations for the variance and the covariance. |
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| ISSN: | 1571-0661 1571-0661 |
| DOI: | 10.1016/j.entcs.2008.11.025 |