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Génération de scénario : planification avec un opérateur défini par un modèle graphique

Abstract : Using planning techniques to generate scenarios offer many advantages such as the variability, the control and the adaptation of the scenarios to the learner. However, a scenario is not only a valid sequence of actions/events, it has to satisfy the causal coherence. The causal coherence refers to the notion that the sequence of events has to follow a logical progression of the narrative and the learner has to understand every event occurring in the scenario. In this article, we propose a new operator that allows to encapsulate sets of actions in the form of graphs. This operator allows to contextualize the actions and therefore to facilitate the causal coherence of the generated scenario. We provide an example of a scenario generated using this new operator and we evaluate the performance of our system on IPC problems.
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Submitted on : Monday, July 16, 2018 - 3:14:01 PM
Last modification on : Thursday, December 2, 2021 - 7:08:03 PM
Long-term archiving on: : Wednesday, October 17, 2018 - 2:27:12 PM


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  • HAL Id : hal-01840615, version 1


Rémi Lacaze-Labadie, Domitile Lourdeaux, Mohamed Sallak. Génération de scénario : planification avec un opérateur défini par un modèle graphique. Journées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2018), Jul 2018, Nancy, France. ⟨hal-01840615⟩



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