Book chapter 962 views
Causal Models of Legal Cases
Lecture Notes in Computer Science, Volume: 10791, Pages: 172 - 186
Swansea University Author: Adam Wyner
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DOI (Published version): 10.1007/978-3-030-00178-0_11
Abstract
Legal causation is a complex aspect of legal reasoning. Due to its significant role in the attribution of legal responsibility, it is important that there is a clear understanding of the requirements for establishing and reasoning with causal links. This paper presents preliminary results of modelli...
Published in: | Lecture Notes in Computer Science |
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ISBN: | 9783030001773 9783030001780 |
ISSN: | 0302-9743 1611-3349 |
Published: |
Cham
Springer International Publishing
2018
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa50222 |
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2023-03-13T14:36:36.4670387 v2 50222 2019-05-03 Causal Models of Legal Cases 51fa34a3136b8e81fc273fce73e88099 0000-0002-2958-3428 Adam Wyner Adam Wyner true false 2019-05-03 MACS Legal causation is a complex aspect of legal reasoning. Due to its significant role in the attribution of legal responsibility, it is important that there is a clear understanding of the requirements for establishing and reasoning with causal links. This paper presents preliminary results of modelling causal arguments based on the legal decisions with particular focus on physical causation. We introduce a semi-formal framework for reasoning with causation that uses strict and defeasible rules for modelling factual causation arguments in legal cases. We further discuss the complex relation between formal, common sense, norm and policy based considerations of causation in legal decision making with particular focus on their role in comparing alternative causal explanations. Book chapter Lecture Notes in Computer Science 10791 172 186 Springer International Publishing Cham 9783030001773 9783030001780 0302-9743 1611-3349 Causation, Law, Evidence, Legal reasoning 23 10 2018 2018-10-23 10.1007/978-3-030-00178-0_11 http://dx.doi.org/10.1007/978-3-030-00178-0_11 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2023-03-13T14:36:36.4670387 2019-05-03T14:42:19.8476519 Faculty of Humanities and Social Sciences Hilary Rodham Clinton School of Law Ruta Liepina 0000-0002-2417-3219 1 Giovanni Sartor 2 Adam Wyner 0000-0002-2958-3428 3 |
title |
Causal Models of Legal Cases |
spellingShingle |
Causal Models of Legal Cases Adam Wyner |
title_short |
Causal Models of Legal Cases |
title_full |
Causal Models of Legal Cases |
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Causal Models of Legal Cases |
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Causal Models of Legal Cases |
title_sort |
Causal Models of Legal Cases |
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51fa34a3136b8e81fc273fce73e88099 |
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51fa34a3136b8e81fc273fce73e88099_***_Adam Wyner |
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Adam Wyner |
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Ruta Liepina Giovanni Sartor Adam Wyner |
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Lecture Notes in Computer Science |
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10791 |
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172 |
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2018 |
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Swansea University |
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9783030001773 9783030001780 |
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0302-9743 1611-3349 |
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10.1007/978-3-030-00178-0_11 |
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Springer International Publishing |
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Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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Hilary Rodham Clinton School of Law{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}Hilary Rodham Clinton School of Law |
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http://dx.doi.org/10.1007/978-3-030-00178-0_11 |
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description |
Legal causation is a complex aspect of legal reasoning. Due to its significant role in the attribution of legal responsibility, it is important that there is a clear understanding of the requirements for establishing and reasoning with causal links. This paper presents preliminary results of modelling causal arguments based on the legal decisions with particular focus on physical causation. We introduce a semi-formal framework for reasoning with causation that uses strict and defeasible rules for modelling factual causation arguments in legal cases. We further discuss the complex relation between formal, common sense, norm and policy based considerations of causation in legal decision making with particular focus on their role in comparing alternative causal explanations. |
published_date |
2018-10-23T04:55:22Z |
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1822104771576725504 |
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11.363283 |