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Marimba: A Tool for Verifying Properties of Hidden Markov Models

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 9364)

Abstract

The formal verification of properties of Hidden Markov Models (HMMs) is highly desirable for gaining confidence in the correctness of the model and the corresponding system. A significant step towards HMM verification was the development by Zhang et al. of a family of logics for verifying HMMs, called POCTL*, and its model checking algorithm. As far as we know, the verification tool we present here is the first one based on Zhang et al.’s approach. As an example of its effective application, we verify properties of a handover task in the context of human-robot interaction. Our tool was implemented in Haskell, and the experimental evaluation was performed using the humanoid robot Bert2.

Keywords

Xylophone Handover Task Model Checking State Subformula Discrete-time Markov Chain (DTMC) 
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.

Notes

Acknowledgements

We gratefully acknowledge support from grants PAPIIT IN113013 and Conacyt 221341, and especially thank the BRL staff for their assistance operating the robot Bert2. E. Magid and K. Eder have been supported, in full and in part, respectively, by the UK EPSRC grant EP/K006320/1 ROBOSAFE: “Trustworthy Robotic Assistants”.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Instituto de Investigaciones en Matemáticas Aplicadas y en SistemasUniversidad Nacional Autónoma de MéxicoMéxico, D.F.México
  2. 2.Facultad de IngenieríaUniversidad Nacional Autónoma de MéxicoMéxico, D.F.México
  3. 3.Department of Computer ScienceUniversity of BristolBristolUK
  4. 4.Bristol Robotics LaboratoryBristolUK

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