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Erschienen in: Service Oriented Computing and Applications 4/2017

09.08.2017 | Special Issue Paper

A planning approach to the automated synthesis of template-based process models

verfasst von: Andrea Marrella, Yves Lespérance

Erschienen in: Service Oriented Computing and Applications | Ausgabe 4/2017

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Abstract

The design-time specification of flexible processes can be time-consuming and error-prone, due to the high number of tasks involved and their context-dependent nature. Such processes frequently suffer from potential interference among their constituents, since resources are usually shared by the process participants and it is difficult to foresee all the potential tasks interactions in advance. Concurrent tasks may not be independent from each other (e.g., they could operate on the same data at the same time), resulting in incorrect outcomes. To tackle these issues, we propose an approach for the automated synthesis of a library of template-based process models that achieve goals in dynamic and partially specified environments. The approach is based on a declarative problem definition and partial-order planning algorithms for template generation. The resulting templates guarantee sound concurrency in the execution of their activities and are reusable in a variety of partially specified contextual environments. As running example, a disaster response scenario is given. The approach is backed by a formal model and has been tested in experiments.

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2
PDDL 2.1 enables the representation of realistic planning domains, which include operators with universally quantified effects and numeric fluents. However, our formalism does not currently handle conditional effects nor negative preconditions.
 
4
Before the execution of the algorithm, all the ordering constraints involving the dummy start action \(a_0\) and the dummy end action \(a_\infty \) are removed from O.
 
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Metadaten
Titel
A planning approach to the automated synthesis of template-based process models
verfasst von
Andrea Marrella
Yves Lespérance
Publikationsdatum
09.08.2017
Verlag
Springer London
Erschienen in
Service Oriented Computing and Applications / Ausgabe 4/2017
Print ISSN: 1863-2386
Elektronische ISSN: 1863-2394
DOI
https://doi.org/10.1007/s11761-017-0215-z

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