A Bayesian model of legal syllogistic reasoning

CC BY

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Hiển thị chi tiết
Tác giả chính: Axel, Constant
Định dạng: Sách
Ngôn ngữ:English
Nhà xuất bản: Springer 2023
Chủ đề:
Truy cập trực tuyến:https://link.springer.com/article/10.1007/s10506-023-09357-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8357
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spelling oai:localhost:PNK-83572023-04-27T07:29:11Z A Bayesian model of legal syllogistic reasoning Axel, Constant Bayesian model CC BY Bayesian approaches to legal reasoning propose causal models of the relation between evidence, the credibility of evidence, and ultimate hypotheses, or verdicts. They assume that legal reasoning is the process whereby one infers the posterior probability of a verdict based on observed evidence, or facts. In practice, legal reasoning does not operate quite that way. Legal reasoning is also an attempt at inferring applicable rules derived from legal precedents or statutes based on the facts at hand. To make such an inference, legal reasoning follows syllogistic logic and first order transitivity. 2023-04-27T07:29:11Z 2023-04-27T07:29:11Z 2023 Book https://link.springer.com/article/10.1007/s10506-023-09357-8 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8357 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Bayesian model
spellingShingle Bayesian model
Axel, Constant
A Bayesian model of legal syllogistic reasoning
description CC BY
format Book
author Axel, Constant
author_facet Axel, Constant
author_sort Axel, Constant
title A Bayesian model of legal syllogistic reasoning
title_short A Bayesian model of legal syllogistic reasoning
title_full A Bayesian model of legal syllogistic reasoning
title_fullStr A Bayesian model of legal syllogistic reasoning
title_full_unstemmed A Bayesian model of legal syllogistic reasoning
title_sort bayesian model of legal syllogistic reasoning
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10506-023-09357-8
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8357
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score 8.887836