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Incremental Intention Recognition

  • The Anh HanEmail author
Chapter
  • 963 Downloads
Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE, volume 9)

Abstract

This chapter describes a novel method for incremental intention recognition. It is performed and achieved by incrementally constructing a threelayer Bayesian Network model as more actions are observed. The Bayesian Network is composed from a knowledge base of readily specified and readily maintained Bayesian Network fragments. Their simple structures allow easy maintenance by domain experts and also facilitate automatic construction from available plan corpora. Improved performance of the method on the Linux plan corpus case is exhibited.

Keywords

Bayesian Network Action Node Conditional Probability Distribution Bayesian Network Model Plan Session 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Artificial Intelligence LabVrije Universiteit BrusselBrusselsBelgium

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