Temporal Logics Over Finite Traces with Uncertainty (Technical Report)

Fabrizio M. Maggi; Marco Montali; Rafael Peñaloza

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arXiv · 1903.04940

Temporal Logics Over Finite Traces with Uncertainty (Technical Report)

Fabrizio M. Maggi·Marco Montali·Rafael Peñaloza

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Abstract

Temporal logics over finite traces have recently seen wide application in a number of areas, from business process modelling, monitoring, and mining to planning and decision making. However, real-life dynamic systems contain a degree of uncertainty which cannot be handled with classical logics. We thus propose a new probabilistic temporal logic over finite traces using superposition semantics, where all possible evolutions are possible, until observed. We study the properties of the logic and provide automata-based mechanisms for deriving probabilistic inferences from its formulas. We then study a fragment of the logic with better computational properties. Notably, formulas in this fragment can be discovered from event log data using off-the-shelf existing declarative process discovery techniques.

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Fabrizio M. Maggi, Marco Montali, Rafael Peñaloza. 2019-03-12. Temporal Logics Over Finite Traces with Uncertainty (Technical Report). https://arxiv.org/abs/1903.04940

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