Though artificial intelligence (AI) & law is a relatively new research domain – the first attempts going back to the 1970s, (Buchanan and Headrick 1970) – the AI and law community has produced a vast amount of research (for an overview, see Ashley 2017), integrating AI methods with legal theories and doctrines, while also including elements of further disciplines, such as linguistics, philosophy, or economics. Here focus on logic-based approaches to AI and law, i.e., on representing legal rules and concepts and reasoning with and about them through formal inference, argumentation, and revision. This entry is complemented by the entry “Case-Based Reasoning and Machine Learning Approaches.”
AI and Law: Logic-based Approaches / Rotolo, Antonino; Sartor, Giovanni. - ELETTRONICO. - (2022), pp. 1-9. [10.1007/978-94-007-6730-0_91-1]
AI and Law: Logic-based Approaches
Rotolo, Antonino;Sartor, Giovanni
2022
Abstract
Though artificial intelligence (AI) & law is a relatively new research domain – the first attempts going back to the 1970s, (Buchanan and Headrick 1970) – the AI and law community has produced a vast amount of research (for an overview, see Ashley 2017), integrating AI methods with legal theories and doctrines, while also including elements of further disciplines, such as linguistics, philosophy, or economics. Here focus on logic-based approaches to AI and law, i.e., on representing legal rules and concepts and reasoning with and about them through formal inference, argumentation, and revision. This entry is complemented by the entry “Case-Based Reasoning and Machine Learning Approaches.”I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
