Abstract
The notion of ‘responsibility’ as a higher-level construct that dynamically impacts each agent’s goals, priorities and actions is very appealing, especially since humans regularly use such concepts in everyday reasoning. In this paper we describe a new model of responsibilities that is philosophically-grounded. We identify traits from the philosophical literature to model, focusing on prospective responsibility and task responsibility. These responsibilities comprise heterogeneous entities, including tasks to be completed, properties that need to be maintained, and sub-responsibilities that need to be fulfilled.
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Acknowledgements
For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising. All data supporting this study is provided in Sect. 3, and at the GitHub repository https://github.com/JoeCol/ResponsibilitySimulation This work is supported in the UK both by EPSRC, through the “Computational Agent Responsibility” project, and by the Royal Academy of Engineering, through its “Chair in Emerging Technologies” scheme.
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Collenette, J., Dennis, L., Fisher, M. (2023). Prospective Responsibility for Multi-agent Systems. In: Bramer, M., Stahl, F. (eds) Artificial Intelligence XL. SGAI 2023. Lecture Notes in Computer Science(), vol 14381. Springer, Cham. https://doi.org/10.1007/978-3-031-47994-6_23
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