Logical Particle Filtering

Authors Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling

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Luke S. Zettlemoyer
Hanna M. Pasula
Leslie Pack Kaelbling

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Luke S. Zettlemoyer, Hanna M. Pasula, and Leslie Pack Kaelbling. Logical Particle Filtering. In Probabilistic, Logical and Relational Learning - A Further Synthesis. Dagstuhl Seminar Proceedings, Volume 7161, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)


In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a logical formula that describes a set of states. The algorithm updates the formulae as new observations are received. Since a single particle tracks many states, this filter can be more accurate than a traditional particle filter in high dimensional state spaces, as we demonstrate in experiments.
  • Particle filter
  • logical hidden Markov model


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