Designing Normative Theories for Ethical and Legal Reasoning: LogiKEy Framework, Methodology, and Tool Support
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Abstract (arXiv)
A framework and methodology---termed LogiKEy---for the design and engineering of ethical reasoners, normative theories and deontic logics is presented. The overall motivation is the development of suitable means for the control and governance of intelligent autonomous systems. LogiKEy's unifying formal framework is based on semantical embeddings of deontic logics, logic combinations and ethico-legal domain theories in expressive classic higher-order logic (HOL). This meta-logical approach enables the provision of powerful tool support in LogiKEy: off-the-shelf theorem provers and model finders for HOL are assisting the LogiKEy designer of ethical intelligent agents to flexibly experiment with underlying logics and their combinations, with ethico-legal domain theories, and with concrete examples---all at the same time. Continuous improvements of these off-the-shelf provers, without further ado, leverage the reasoning performance in LogiKEy. Case studies, in which the LogiKEy framework and methodology has been applied and tested, give evidence that HOL's undecidability often does not hinder efficient experimentation.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Mar 2019.
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Citing papers per year: 2021: 1; 2022: 1.
2 papers.
- 2021Towards AI Logic for Social Reasoningcited by 0
- 2022Automated Kantian Ethics: A Faithful Implementationcited by 0
- 2022Automated Kantian Ethics: A Faithful Implementation20 Jul 2022
- 2021Towards AI Logic for Social Reasoning9 Oct 2021