Probabilistic Concurrent Constraint Programming

Abstract. We extend cc to allow the specification of a discrete probability distribution for random variables. We demonstrate the expressiveness of pcc by synthesizing combinators for default reasoning. We extend pcc uniformly over time, to get a synchronous reactive probabilistic programming language, Timed pcc. We describe operational and denotational models for pcc (and Timed pcc). The key feature of the denotational model(s) is that parallel composition is essentially set intersection. We show that the denotationalmodel of pcc (resp. Timed pcc) is conservative over cc (resp. tcc). We also show that the denotational models are stract for an operational semantics that records probability information.

• Type: Conference
• Year: 1997
• Where: CONCUR
• Authors: Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat
• Keywords: CONCUR 1997, Denotational Models, Discrete Probability Distribution, Distributed And Parallel Computing, Reactive Probabilistic Programming