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arXiv · 2007.05793

Context-Aware Temporal Logic for Probabilistic Systems

Mahmoud Elfar·Yu Wang·Miroslav Pajic
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Abstract

In this paper, we introduce the context-aware probabilistic temporal logic (CAPTL) that provides an intuitive way to formalize system requirements by a set of PCTL objectives with a context-based priority structure. We formally present the syntax and semantics of CAPTL and propose a synthesis algorithm for CAPTL requirements. We also implement the algorithm based on the PRISM-games model checker. Finally, we demonstrate the usage of CAPTL on two case studies: a robotic task planning problem, and synthesizing error-resilient scheduler for micro-electrode-dot-array digital microfluidic biochips.

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Mahmoud Elfar, Yu Wang, Miroslav Pajic. 2020-07-11. Context-Aware Temporal Logic for Probabilistic Systems. https://arxiv.org/abs/2007.05793

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