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Decision Problems for Interval Markov Chains
[chapter]
2011
Lecture Notes in Computer Science
Interval Markov Chains (IMC) are the base of a classic probabilistic specification theory by Larsen and Jonsson in 1991. They are also a popular abstraction for probabilistic systems. In this paper we study complexity of several problems for this abstraction, that stem from compositional modeling methodologies. In particular we close the complexity gap for thorough refinement of two IMCs and for deciding the existence of a common implementation for an unbounded number of IMCs, showing that
doi:10.1007/978-3-642-21254-3_21
fatcat:ccure3jcdrheth32k4t3v7t74y