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Formal Specification for Learning-Enabled Autonomous Systems

2022 , Bensalem, Saddek , Cheng, Chih-Hong , Huang, Xiaowei , Katsaros, Panagiotis , Molin, Adam , Nickovic, Dejan , Peled, Doron

The formal specification provides a uniquely readable description of various aspects of a system, including its temporal behavior. This facilitates testing and sometimes automatic verification of the system against the given specification. We present a logic-based formalism for specifying learning-enabled autonomous systems, which involve components based on neural networks. The formalism is based on first-order past time temporal logic that uses predicates for denoting events. We have applied the formalism successfully to two complex use cases.