Invention Grant
US07882047B2 Partially observable markov decision process including combined bayesian networks into a synthesized bayesian network for information processing 失效
部分可观察的马尔可夫决策过程包括将贝叶斯网络组合成用于信息处理的合成贝叶斯网络

  • Patent Title: Partially observable markov decision process including combined bayesian networks into a synthesized bayesian network for information processing
  • Patent Title (中): 部分可观察的马尔可夫决策过程包括将贝叶斯网络组合成用于信息处理的合成贝叶斯网络
  • Application No.: US11759083
    Application Date: 2007-06-06
  • Publication No.: US07882047B2
    Publication Date: 2011-02-01
  • Inventor: Ugo Di Profio
  • Applicant: Ugo Di Profio
  • Applicant Address: JP Tokyo
  • Assignee: Sony Corporation
  • Current Assignee: Sony Corporation
  • Current Assignee Address: JP Tokyo
  • Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, L.L.P.
  • Priority: JP2006-158566 20060607
  • Main IPC: G06F15/18
  • IPC: G06F15/18
Partially observable markov decision process including combined bayesian networks into a synthesized bayesian network for information processing
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.
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