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On a plausible interpretation of the reason model, past cases provide reasons to prioritize reasons favouring the same outcome as a past case over reasons favouring the opposing outcome. Here I consider the merits of this approach to the role of precedent in legal reasoning in comparison with a closely related view favoured by some legal theorists, according to which past cases provide reasons for undercutting (or \u2018excluding\u2019) reasons favouring the opposing outcome. After embedding both accounts within a general default logic, I note some important differences between the two approaches that emerge as a result of plausible distinctions between rebutting and undercutting defeat in formal models of legal reasoning. These differences stem from the \u2018preference independence\u2019 of undercutting defeat . Undercutting reasons succeed in defeating opposing reasons irrespective of their relative strength. As a result, the two accounts differ in their account of the way in which precedents constrain judicial reasoning. I conclude by suggesting that the two approaches can be integrated within a single model, in which the distinction between undercutting and rebutting defeat is used to account for the distinction between strict and persuasive forms of precedential constraint.<\/jats:p>","DOI":"10.1007\/s10506-022-09335-6","type":"journal-article","created":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T18:03:00Z","timestamp":1667325780000},"page":"703-738","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Two factor-based models of precedential constraint: a comparison and proposal"],"prefix":"10.1007","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5935-8774","authenticated-orcid":false,"given":"Robert","family":"Mullins","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,1]]},"reference":[{"key":"9335_CR1","unstructured":"Aleven V (1997) Teaching case-based argumentation through a model and examples. 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