Abstract
This paper focuses on the work of the Autonomy and Verification Network (https://autonomy-and-verification.github.io ). In particular it will look at the use of model-checking to verify the choices made by a cognitive agent in control of decision making within an autonomous system. It will consider the assumptions that need to be made about the environment in which the agent operates in order to perform that verification and how those assumptions can be validated via runtime monitoring. Lastly it will consider how compositional techniques can be used to combine the agent verification with verification of other components within the autonomous system.
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CITATION STYLE
Dennis, L. A. (2022). Verifying Autonomous Systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13274 LNCS, pp. 3–17). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-07727-2_1
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