Probabilistic Concurrent Constraint Programming
Probabilistic Concurrent Constraint Programming
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概率并发约束编程
DOI：
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发表时间：
1997
期刊：
影响因子：
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通讯作者：
V. Saraswat
中科院分区：
文献类型：
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作者：
Vineet Gupta;R. Jagadeesan;V. Saraswat
我们扩展CC允许随机变量的离散概率分布的规格。我们通过合成缺省推理的组合子来证明pcc的表达能力。我们扩展pcc一致的时间，得到一个同步反应概率编程语言，定时pcc。我们描述了PCC（和定时PCC）的操作和指称模型。指称模型的关键特征是并行组合本质上是集合交集。我们证明了pcc（resp.时间pcc）相对于cc（resp. tcc）。我们还表明，指称模型是完全抽象的操作语义，记录概率信息。
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 denotational model ofpcc (resp. Timed pcc) is conservative over cc (resp. tcc). We also show that the denotational models are fully abstract for an operational semantics that records probability information.