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Ilaria Canavotto / The importance of intermediate steps in precedent-based reasoning

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Ilaria Canavotto / The importance of intermediate steps in precedent-based reasoning

Philosophy Friday, February 23, 2024 3:00 pm - 5:00 pm Skinner Building, 1115

Friday February 23, Ilaria Canavotto presents her recent work on formal models of normative reasoning, specifically on reasoning with precedents.


The importance of intermediate steps in precedent-based reasoning

The question of how precedent cases constrain future decisions is a traditional question in legal theory in the common law tradition.  Although the doctrine of precedent is often viewed as obscure and contentious, the topic has been clarified by a new "reason model" of precedential constraint, originating with work by Lamond in the field of Legal Theory, and developed by Horty and Bench-Capon in the field of AI and Law.  These initial versions of the reason model, however, are based on a simplification: while the decisions of courts typically involve a number of intermediate reasoning steps, and can be justified by complex arguments, the reason model represents these decisions as proceeding from the facts of a case directly to an ultimate outcome. In this talk, I will discuss the importance of modeling these intermediate reasoning steps in order to achieve a richer understanding of precedential constraint.

Add to Calendar 02/23/24 15:00:00 02/23/24 17:00:00 America/New_York Ilaria Canavotto / The importance of intermediate steps in precedent-based reasoning

Friday February 23, Ilaria Canavotto presents her recent work on formal models of normative reasoning, specifically on reasoning with precedents.


The importance of intermediate steps in precedent-based reasoning

The question of how precedent cases constrain future decisions is a traditional question in legal theory in the common law tradition.  Although the doctrine of precedent is often viewed as obscure and contentious, the topic has been clarified by a new "reason model" of precedential constraint, originating with work by Lamond in the field of Legal Theory, and developed by Horty and Bench-Capon in the field of AI and Law.  These initial versions of the reason model, however, are based on a simplification: while the decisions of courts typically involve a number of intermediate reasoning steps, and can be justified by complex arguments, the reason model represents these decisions as proceeding from the facts of a case directly to an ultimate outcome. In this talk, I will discuss the importance of modeling these intermediate reasoning steps in order to achieve a richer understanding of precedential constraint.

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