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Platas—Integrating Planning and the Action Language Golog

dc.contributor.authorClaßen, Jens
dc.contributor.authorRöger, Gabriele
dc.contributor.authorLakemeyer, Gerhard
dc.contributor.authorNebel, Bernhard
dc.date.accessioned2018-01-08T09:15:36Z
dc.date.available2018-01-08T09:15:36Z
dc.date.issued2012
dc.description.abstractAction programming languages like Golog allow to define complex behaviors for agents on the basis of action representations in terms of expressive (first-order) logical formalisms, making them suitable for realistic scenarios of agents with only partial world knowledge. Often these scenarios include sub-tasks that require sequential planning. While in principle it is possible to express and execute such planning sub-tasks directly in Golog, the system can performance-wise not compete with state-of-the-art planners. In this paper, we report on our efforts to integrate efficient planning and expressive action programming in the Platas project. The theoretical foundation is laid by a mapping between the planning language Pddl and the Situation Calculus, which is underlying Golog, together with a study of how these formalisms relate in terms of expressivity. The practical benefit is demonstrated by an evaluation of embedding a Pddl planner into Golog, showing a drastic increase in performance while retaining the full expressiveness of Golog.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11260
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 26, No. 1
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.titlePlatas—Integrating Planning and the Action Language Golog
dc.typeText/Journal Article
gi.citation.endPage67
gi.citation.startPage61

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