Symbolic and Quantitative Approaches to Reasoning with Uncertainty

DOI10.1007/B138862zbMATH Open1122.68594OpenAlexW3187471853MaRDI QIDQ5473710

Vikram Krishnamurthy, Arsalan Farrokh

Publication date: 23 June 2006

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/b138862

zbMATH Keywords

dynamic programmingBellman equationsufficient statisticsoptimal searchtwo-state Markov chainoptimal threshold policiesHidden Markov Model (HMM)overlook probabilityPartially Observable Markov Decision Process (POMDP)

Mathematics Subject Classification ID

Optimal stochastic control (93E20) Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

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