概率模态Kleene代数与Hoare-Style逻辑

Rui Qiao, Jinzhao Wu, Xinyan Gao
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引用次数: 0

摘要

模态Kleene代数(MKA)形式化正则程序的行为。然而,MKA无法用概率信息验证正则程序,而概率信息比普通正则程序具有更丰富、更强大的表达能力。我们定义了MKA的一个扩展,称为概率模态Kleene代数(PMKA),用于用纯代数方法验证正则规划的概率性。给出了带有概率的正则程序的关系语义。然后,我们将现有的某种形式的概率hore -style逻辑修改为一个无迭代概率正则程序的证明系统PHLnp,并从关系语义的角度证明了修改后的系统的健健性。最后,我们证明PHLnp包含在PMKA中。
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Probabilistic Modal Kleene Algebra and Hoare-Style Logic
Modal Kleene algebras (MKA) formalize the behavior of regular programs. However, MKA is incapable of verifying regular programs with probabilistic information, which have richer and more powerful expressiveness than normal regular programs. We define an extension of MKA, called probabilistic modal Kleene algebra (PMKA) for verifying the regular programs with probability in a purely algebraic approach. We give relational semantics for the regular programs with probability. Then, we modify the existent probabilistic Hoare-style logic in some sort to a proof system named PHLnp for probabilistic regular programs without iteration, and prove the soundness of the modified system in terms of the relational semantics. At last, we show that PHLnp is subsumed by PMKA.
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