Partially observable markov decision process including...

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

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Reexamination Certificate

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07882047

ABSTRACT:
Disclosed herein is an information-processing apparatus for constructing an information analysis processing configuration to be applied to information analysis processing in an observation domain including an uncertainty. The information-processing apparatus includes a data processing unit for: taking a Partially Observable Markov Decision Process as a basic configuration; taking each of elements included in every information space defined in the Partially Observable Markov Decision Process as a unit; analyzing relations between the elements; and constructing an Factored Partially Observable Markov Decision Process, which is a Partially Observable Markov Decision Process including the relations between the elements, on the basis of results of the analysis.

REFERENCES:
patent: 6651044 (2003-11-01), Stoneman
patent: 2002/0103793 (2002-08-01), Koller et al.
patent: 2004/0220892 (2004-11-01), Cohen et al.
patent: 2005-107747 (2005-04-01), None
Boutilier, Craig and David Poole “Computing Optimal Policies for Partially OBservable Decision Processes using Compact Representations” Proceedings of the 13thNational Conference on Artificial intelligence 1996. Downloaded Apr. 15, 2010.
Husmeier, Dirk “Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian Networks” vol. 19, No. 17 2003, pp. 2271-2282. Downloaded Apr. 15, 2010.
Williams, Jason, Pascal Poupart, and Steve Young “Factored Partially Observable Markov Decision Processes for Dialogue Management” Aug. 1, 2005. Downloaded Apr. 15, 2010.
Theocharous, G. et al., “Representing hierarchical POMDPs as DBNs for multi-scale robot localization”, Proceedings of the 2004 IEEE, International Conference on Robotics & Automation, New Orleans, LA, Apr. 2004, pp. 1045-1051.

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