Platas—Integrating Planning and the Action Language Golog
| dc.contributor.author | Claßen, Jens | |
| dc.contributor.author | Röger, Gabriele | |
| dc.contributor.author | Lakemeyer, Gerhard | |
| dc.contributor.author | Nebel, Bernhard | |
| dc.date.accessioned | 2018-01-08T09:15:36Z | |
| dc.date.available | 2018-01-08T09:15:36Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | Action 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.pissn | 1610-1987 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11260 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 26, No. 1 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Platas—Integrating Planning and the Action Language Golog | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 67 | |
| gi.citation.startPage | 61 |