Abstract
This paper presents the integration of automated planning in AUTO, a framework able to design plans of composed services for environmental early warning management. AUTO is based on three components: a request processing module that transforms natural language and context information into a planning instance; the automated planning and execution module based on an architecture for planning and execution, PELEA; and the Service Execution Environment for Web and Telco Services. The integration of a planning component provides two basic functionalities: the possibility of customizing the composition of services based on the preferences of the user and a middleware level that interfaces the execution of services in the environment.
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Ordonez, A., Alcázar, V., Borrajo, D., Falcarin, P., Corrales, J.C. (2012). An Automated User-Centered Planning Framework for Decision Support in Environmental Early Warnings. In: Pavón, J., Duque-Méndez, N.D., Fuentes-Fernández, R. (eds) Advances in Artificial Intelligence – IBERAMIA 2012. IBERAMIA 2012. Lecture Notes in Computer Science(), vol 7637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34654-5_60
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DOI: https://doi.org/10.1007/978-3-642-34654-5_60
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