Compositional Probabilistic Model Checking with String Diagrams of MDPs

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چکیده

Abstract We present a compositional model checking algorithm for Markov decision processes, in which they are composed the categorical graphical language of string diagrams . The computes optimal expected rewards. Our theoretical development is supported by category theory, while what we call decomposition equalities rewards act as key enabler. Experimental evaluation demonstrates its performance advantages.

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ژورنال

عنوان ژورنال: Lecture Notes in Computer Science

سال: 2023

ISSN: ['1611-3349', '0302-9743']

DOI: https://doi.org/10.1007/978-3-031-37709-9_3