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

  • Bartłomiej Józef Dzieńkowski
  • Urszula Markowska-Kaczmar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7564)

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.

Keywords

data analysis hierarchical plan sub-goals reconstruction recognition machine learning agent system 

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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Bartłomiej Józef Dzieńkowski
    • 1
  • Urszula Markowska-Kaczmar
    • 1
  1. 1.Wroclaw University of TechnologyPoland

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