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Conference papers


Joerg Hoffmann 1 Ingo Weber 2 Frank Kraft 3 
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In several application areas for Planning, in particular helping with the creation of new processes in Business Process Management (BPM), a major obstacle lies in the modeling. Obtaining a suitable model to plan with is often prohibitively complicated and/or costly. Our core observation in this work is that, for software-architectural purposes, SAP is already using a model that is essentially a variant of PDDL. That model describes the behavior of Business Objects, in terms of status variables and how they are affected by system transactions. We show herein that one can leverage the model to obtain (a) a promising BPM planning application which incurs hardly any modeling costs, and (b) an interesting planning benchmark. We design a suitable planning formalism and an adaptation of FF, and we perform large-scale experiments. Our prototype is part of a research extension to the SAP NetWeaver platform.
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Submitted on : Wednesday, November 10, 2010 - 9:31:53 AM
Last modification on : Wednesday, February 2, 2022 - 3:51:17 PM
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  • HAL Id : inria-00491123, version 1



Joerg Hoffmann, Ingo Weber, Frank Kraft. SAP Speaks PDDL. 24th National Conference of the American Association for Artificial Intelligence (AAAI'10), Jul 2010, Atlanta, United States. ⟨inria-00491123⟩



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