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IJRR
2010
162views more  IJRR 2010»
14 years 8 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
BIRTHDAY
2008
Springer
14 years 11 months ago
Temporal Verification of Probabilistic Multi-Agent Systems
Abstract. Probabilistic systems of interacting intelligent agents are considered. They have two sources of uncertainty: uncertainty of communication channels and uncertainty of act...
Michael I. Dekhtyar, Alexander Ja. Dikovsky, Mars ...
ISIPTA
2003
IEEE
147views Mathematics» more  ISIPTA 2003»
15 years 3 months ago
Reducing Uncertainty by Imprecise Judgements on Probability Distributions: Application to System Reliability
In this paper the judgement consisting in choosing a function that is believed to dominate the true probability distribution of a continuous random variable is explored. This kind...
Igor Kozine, V. Krymsky
MP
2008
117views more  MP 2008»
14 years 9 months ago
Stochastic programming approach to optimization under uncertainty
In this paper we discuss computational complexity and risk averse approaches to two and multistage stochastic programming problems. We argue that two stage (say linear) stochastic ...
Alexander Shapiro
IJAR
2011
88views more  IJAR 2011»
14 years 4 months ago
A framework for reasoning under uncertainty based on non-deterministic distance semantics
Abstract. In this paper, we introduce a general and modular framework for formalizing reasoning with incomplete and inconsistent information. Our framework is composed of non-deter...
Ofer Arieli, Anna Zamansky