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Conference paper

Belief Bisimulation for Hidden Markov Models Logical Characterisation and Decision Algorithm

From

Radboud University Nijmegen1

Department of Informatics and Mathematical Modeling, Technical University of Denmark2

Computer Science and Engineering, Department of Informatics and Mathematical Modeling, Technical University of Denmark3

Language-Based Technology, Department of Informatics and Mathematical Modeling, Technical University of Denmark4

This paper establishes connections between logical equivalences and bisimulation relations for hidden Markov models (HMM). Both standard and belief state bisimulations are considered. We also present decision algorithms for the bisimilarities. For standard bisimilarity, an extension of the usual partition refinement algorithm is enough.

Belief bisimilarity, being a relation on the continuous space of belief states, cannot be described directly. Instead, we show how to generate a linear equation system in time cubic in the number of states.

Language: English
Publisher: Springer
Year: 2012
Pages: 326-340
Proceedings: 4th NASA Formal Methods Symposium (NFM 2012)NASA Formal Methods Symposium
Series: Lecture Notes in Computer Science
Journal subtitle: 4th International Symposium, Nfm 2012, Norfolk, Va, Usa, April 3-5, 2012. Proceedings
ISBN: 3642288901 , 364228891X , 364228891x , 9783642288906 and 9783642288913
ISSN: 03029743
Types: Conference paper
DOI: 10.1007/978-3-642-28891-3_31
ORCIDs: Nielson, Flemming

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