Autonomous systems are technologies that interact within an environment to gain knowledge and build awareness, learn, adapt and make decisions, with little or no human control. They include automated decision-making software and ‘smart’ devices as well as self-driving cars, drones and healthcare and surgical robots. These systems are already used in many sectors of society. Given their increased use, it is important to ensure that they are designed, built and deployed in a way that can be fully relied upon.
Our state-of-the art tools are freely available for dowload.
RoboTool supports graphical modelling, validation, and automatic generatits...https://www.cs.york.ac.uk/robostar/robotool/
The MCAPL Project provides a tool for prototyping BDI agent programming languages ....https://autonomy-and-verification.github.io/tools/mcapl
Verifiable Machine Ethics in Changing Contexts Journal Article
In: Proceedings of the AAAI Conference on Artificial Intelligence, 35 (13), pp. 11470-11478, 0000.
Conformance Relations and Hyperproperties for Doping Detection in Time and Space Journal Article Forthcoming
In: Logical Methods in Computer Science, Forthcoming.
Increasing Confidence in Autonomous Systems Inproceedings
In: Ahrendt, Wolfgang; Ancona, Davide; Francalanza, Adrian (Ed.): Proceedings of the 5th ACM International Workshop on Verification and mOnitoring at RunTime EXecution (VORTEX), pp. 1–4, ACM, 0000.
Verifiability Talk 34: “Deriving Formal Models from Natural Language Requirements using ARSENAL Semantic Parser”
Verifiability Talk 33: “Connections of adversarial machine learning and machine learning testing?”