Plan and Goal Structure Reconstruction: An Automated and Incremental Method Based on Observation of a Single Agent

Abstract : Plan reconstruction is a task that appears in plan recognition and learning by practice. The document introduces a method of building a goal graph, which holds a reconstructed plan structure, based on analysis of data provided by observation of an agent. The approach is STRIPS-free and uses only a little knowledge about an environment. The process is automatic, thus, it does not require manual annotation of observations. The paper provides details of the developed algorithm. In the experimental study properties of a goal graph were evaluated. Possible application areas of the method are described.
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Communication dans un congrès
Agostino Cortesi; Nabendu Chaki; Khalid Saeed; Sławomir Wierzchoń. 11th International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2012, Venice, Italy. Springer, Lecture Notes in Computer Science, LNCS-7564, pp.290-301, 2012, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-33260-9_25〉
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Bartłomiej Dzieńkowski, Urszula Markowska-Kaczmar. Plan and Goal Structure Reconstruction: An Automated and Incremental Method Based on Observation of a Single Agent. Agostino Cortesi; Nabendu Chaki; Khalid Saeed; Sławomir Wierzchoń. 11th International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2012, Venice, Italy. Springer, Lecture Notes in Computer Science, LNCS-7564, pp.290-301, 2012, Computer Information Systems and Industrial Management. 〈10.1007/978-3-642-33260-9_25〉. 〈hal-01551726〉

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