A computational model of moral and legal responsibility via simplicity theory
| Authors |
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| Publication date | 2017 |
| Host editors |
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| Book title | Legal Knowledge and Information Systems |
| Book subtitle | JURIX 2017: The Thirtieth Annual Conference |
| ISBN |
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| ISBN (electronic) |
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| Series | Frontiers in Artificial Intelligence and Applications |
| Event | 30th International Conference on Legal Knowledge and Information Systems, JURIX 2017 |
| Pages (from-to) | 171-176 |
| Number of pages | 6 |
| Publisher | Amsterdam: IOS Press |
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| Abstract |
Responsibility, as referred to in everyday life, as explored in moral philosophy and debated in jurisprudence, is a multiform, ill-defined but inescapable notion for reasoning about actions. Its presence in all social constructs suggests the existence of an underlying cognitive base. Following this hypothesis, and building upon simplicity theory, the paper proposes a novel computational approach. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.3233/978-1-61499-838-9-171 |
| Other links | https://www.scopus.com/pages/publications/85037989890 |
| Downloads |
FAIA302-0171
(Final published version)
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| Permalink to this page | |
