Continual Planning with Sensing for Web Service Composition

Eirini Kaldeli, Alexander Lazovik, Marco Aiello

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

21 Citations (Scopus)
125 Downloads (Pure)

Abstract

Web Service (WS) domains constitute an application field where automated planning can significantly contribute towards achieving customisable and adaptable compositions. Following the vision of using domain-independent planning and declarative complex goals to generate compositions based on atomic service descriptions, we apply a planning framework based on Constraint Satisfaction techniques to a domain consisting of WSs with diverse functionalities. One of the key requirements of such domains is the ability to address the incomplete knowledge problem, as well as recovering from failures that may occur during execution. We propose an algorithm for interleaving planning, monitoring and execution, where continual planning via altering the CSP is performed, under the light of the feedback acquired at runtime. The system is evaluated against a number of scenarios including real WSs, demonstrating the leverage of situations that can be effectively tackled with respect to previous approaches.
Original languageEnglish
Title of host publicationAAAI Conference on Artificial Intelligence
PublisherAAAI Press
Pages1198-1203
Number of pages6
Publication statusPublished - 2011

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