AIC Seminar Series

Service domains constitute an application field where automated planning can significantly contribute towards achieving more customisable compositions, and pose a number of interesting problems to the AI community. Following the vision to use domain-independent planning for generating compositions based on atomic service descriptions, I will show how a CSP-based planning framework, equipped with a declarative extended goal language, can meet the requirements posed by two different application areas: a smart home equipped with intelligent devices exposed as services, and a domain consisting of Web Services offering a number of different functionalities. The main characteristics of the planner include accommodating for incomplete knowledge through active sensing and re-planning, support for continuous context update, and for variables ranging over large domains. Evaluation for a number of different scenarios including real users and services is provided, which indicate that the planner can satisfy a variety of different needs with minimum reconfiguration.

Eirini Kaldeli is a PhD student at the Distributed Systems group of the University of Groningen, under the supervision of Prof. Marco Aiello. Her research interests include AI planning, Web Services, Constraint Satisfaction, and how the advances in each of these areas interact with each other. More information can be found at http://www.cs.rug.nl/~eirini/.

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