Journal article 1617 views 501 downloads
Arguing about causes in law: a semi-formal framework for causal arguments
Artificial Intelligence and Law, Volume: 28, Issue: 1, Pages: 69 - 89
Swansea University Author:
Adam Wyner
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DOI (Published version): 10.1007/s10506-019-09246-z
Abstract
In legal argumentation and liability attribution, disputes over causes play a central role. Legal discussions about causation often have difficulty with cause-in-fact in complex situations, e.g. overdetermination, preemption, omission. We first assess three theories of causation. Then we introduce a...
| Published in: | Artificial Intelligence and Law |
|---|---|
| ISSN: | 0924-8463 1572-8382 |
| Published: |
Springer Science and Business Media LLC
2020
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa49685 |
| first_indexed |
2019-03-21T13:59:26Z |
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| last_indexed |
2023-01-11T14:25:56Z |
| id |
cronfa49685 |
| recordtype |
SURis |
| fullrecord |
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2022-09-28T16:48:00.3535885 v2 49685 2019-03-21 Arguing about causes in law: a semi-formal framework for causal arguments 51fa34a3136b8e81fc273fce73e88099 0000-0002-2958-3428 Adam Wyner Adam Wyner true false 2019-03-21 MACS In legal argumentation and liability attribution, disputes over causes play a central role. Legal discussions about causation often have difficulty with cause-in-fact in complex situations, e.g. overdetermination, preemption, omission. We first assess three theories of causation. Then we introduce a semi-formal framework to model causal arguments using both strict and defeasible rules. We apply the framework to the Althen vaccine injury case. Wrapping up the paper, we motivate a causal argumentation framework and propose to integrate current theories of causation. Journal Article Artificial Intelligence and Law 28 1 69 89 Springer Science and Business Media LLC 0924-8463 1572-8382 Artificial Intelligence, Legal Reasoning, Defeasible Reasoning 1 3 2020 2020-03-01 10.1007/s10506-019-09246-z http://dx.doi.org/10.1007/s10506-019-09246-z COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2022-09-28T16:48:00.3535885 2019-03-21T10:45:19.5833024 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Rūta Liepiņa 1 Giovanni Sartor 2 Adam Wyner 0000-0002-2958-3428 3 0049685-16042019140814.pdf LiepinaSartorWynerArguingaboutCauses(2019).pdf 2019-04-16T14:08:14.1470000 Output 284814 application/pdf Accepted Manuscript true 2020-03-05T00:00:00.0000000 true eng |
| title |
Arguing about causes in law: a semi-formal framework for causal arguments |
| spellingShingle |
Arguing about causes in law: a semi-formal framework for causal arguments Adam Wyner |
| title_short |
Arguing about causes in law: a semi-formal framework for causal arguments |
| title_full |
Arguing about causes in law: a semi-formal framework for causal arguments |
| title_fullStr |
Arguing about causes in law: a semi-formal framework for causal arguments |
| title_full_unstemmed |
Arguing about causes in law: a semi-formal framework for causal arguments |
| title_sort |
Arguing about causes in law: a semi-formal framework for causal arguments |
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51fa34a3136b8e81fc273fce73e88099 |
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51fa34a3136b8e81fc273fce73e88099_***_Adam Wyner |
| author |
Adam Wyner |
| author2 |
Rūta Liepiņa Giovanni Sartor Adam Wyner |
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Journal article |
| container_title |
Artificial Intelligence and Law |
| container_volume |
28 |
| container_issue |
1 |
| container_start_page |
69 |
| publishDate |
2020 |
| institution |
Swansea University |
| issn |
0924-8463 1572-8382 |
| doi_str_mv |
10.1007/s10506-019-09246-z |
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Springer Science and Business Media LLC |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
| url |
http://dx.doi.org/10.1007/s10506-019-09246-z |
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| description |
In legal argumentation and liability attribution, disputes over causes play a central role. Legal discussions about causation often have difficulty with cause-in-fact in complex situations, e.g. overdetermination, preemption, omission. We first assess three theories of causation. Then we introduce a semi-formal framework to model causal arguments using both strict and defeasible rules. We apply the framework to the Althen vaccine injury case. Wrapping up the paper, we motivate a causal argumentation framework and propose to integrate current theories of causation. |
| published_date |
2020-03-01T04:37:28Z |
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1851094674434949120 |
| score |
11.089386 |

