ECAI 2004 Conference Paper

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Adapting LPGP to Plan with Exogenous Events and Goals with Deadlines

Stephen Cresswell, Alexandra Coddington

Although there are a number of AI planners that reason about actions with duration, not many deal with exogenous events or goals with deadlines. This paper describes two approaches that enable the planner LPGP to reason about domains which contain exogenous events and goals with deadlines: the first approach investigates ways in which such domains may be encoded using PDDL2.1 level 3, a planning domain definition language developed for the third Internationa Planning Competition (IPC3), while the second approach involves directly modifying LPGP. Both approaches have been tested in a number of domains involving exogenous events and goals with deadlines. The paper draws conclusions about the relative merit of the two approaches based on the results of these experiments.

Keywords: AI planning, temporal reasoning

Citation: Stephen Cresswell, Alexandra Coddington: Adapting LPGP to Plan with Exogenous Events and Goals with Deadlines. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.983-984.

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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).