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Modular Algorithms for Heterogeneous Modal Logics

机译:异构模态逻辑的模块化算法

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摘要

State-based systems and modal logics for reasoning about them often heterogeneously combine a number of features such as non-determinism and probabilities. Here, we show that the combination of features can be reflected algorithmically and develop modular decision procedures for heterogeneous modal logics. The modularity is achieved by formalising the underlying state-based systems as multi-sorted coalgebras and associating both a logical and an algorithmic description to a number of basic building blocks. Our main result is that logics arising as combinations of these building blocks can be decided in polynomial space provided that this is the case for the components. By instantiating the general framework to concrete cases, we obtain PSPACE decision procedures for a wide variety of structurally different logics, describing e.g. Segala systems and games with uncertain information.
机译:基于状态的系统和用于推理的模态逻辑通常异质地结合了许多特征,例如不确定性和概率。在这里,我们表明功能的组合可以通过算法反映出来,并为异构模态逻辑开发模块化决策程序。通过将基础的基于状态的系统形式化为多种分类的代数,并将逻辑描述和算法描述与多个基本构建块相关联,可以实现模块化。我们的主要结果是,只要这些组件都是这种情况,就可以在多项式空间中确定由这些构件的组合产生的逻辑。通过将一般框架实例化为具体案例,我们获得了针对各种结构不同的逻辑的PSPACE决策程序,例如信息不确定的Segala系统和游戏。

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