Plan and Goal Structure Reconstruction: An Automated and Incremental Method Based on Observation of a Single Agent
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26 septembre 2012
- handle: 10670/1.y2w7yc
- hal: hal-01551726
- doi: 10.1007/978-3-642-33260-9_25
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info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-33260-9_25
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Mots-clés
data analysis hierarchical plan sub-goals reconstruction recognition machine learning agent systemSujets proches
Natural science Sciences Science of scienceCiter ce document
Bartłomiej Józef Dzieńkowski et al., « Plan and Goal Structure Reconstruction: An Automated and Incremental Method Based on Observation of a Single Agent », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.1007/978-3-642-33260-9_25
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Résumé
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.