PReMo: an analyzer for probabilistic recursive models

  title={PReMo: an analyzer for probabilistic recursive models},
  author={Dominik Wojtczak and Kousha Etessami},
This paper describes PReMo, a tool for analyzing Recursive Markov Chains, and their controlled/game extensions: (1-exit) Recursive Markov Decision Processes and Recursive Simple Stochastic Games. Introduction. Recursive Markov Chains (RMCs) [4, 5] are a natural abstract model of probabilistic procedural programs and other systems involving recursion and probability. They are formally equivalent to probabilistic Pushdown Systems (pPDSs) ([2, 3]), and they define a class of infinite-state Markov… CONTINUE READING
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