Reasoning with Rules and Precedents: A Computational Model of Legal Analysis
Few areas of human expertise are so well understood that they can be completely reduced to general principles. Similarly, there are few domains in which experience is so extensive that every new problem precisely matches a previous problem whose solution is known. When neither rules nor examples are...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
2000
|
| Ausgabe: | 1st ed. 2000 |
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | Few areas of human expertise are so well understood that they can be completely reduced to general principles. Similarly, there are few domains in which experience is so extensive that every new problem precisely matches a previous problem whose solution is known. When neither rules nor examples are individually sufficient, problem-solving expertise depends on integrating both. This book presents a computational framework for the integration of rules and cases for analytic tasks typified by legal analysis. The book uses the framework for integrating cases and rules as a basis for a new model of legal precedents. This model explains how the theory under which a case is decided controls the case's precedential effect. The framework for integrating rules and cases is implemented in GREBE, a system for legal analysis. The book presents techniques for representing, indexing, and comparing complex cases and for converting justification structures based on rules and case into natural-language text. This book will interest researchers in artificial intelligence, particularly those involved in case-based reasoning, artificial intelligence and law, and formal models of argumentation, and to scholars in legal philosophy, jurisprudence, and analogical reasoning |
| Beschreibung: | 1 Online-Ressource (XIII, 219 p) |
| ISBN: | 9789401728485 |
| DOI: | 10.1007/978-94-017-2848-5 |
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| spelling | Branting, L. Karl Verfasser aut Reasoning with Rules and Precedents A Computational Model of Legal Analysis by L. Karl Branting 1st ed. 2000 Dordrecht Springer Netherlands 2000 1 Online-Ressource (XIII, 219 p) txt rdacontent c rdamedia cr rdacarrier Few areas of human expertise are so well understood that they can be completely reduced to general principles. Similarly, there are few domains in which experience is so extensive that every new problem precisely matches a previous problem whose solution is known. When neither rules nor examples are individually sufficient, problem-solving expertise depends on integrating both. This book presents a computational framework for the integration of rules and cases for analytic tasks typified by legal analysis. The book uses the framework for integrating cases and rules as a basis for a new model of legal precedents. This model explains how the theory under which a case is decided controls the case's precedential effect. The framework for integrating rules and cases is implemented in GREBE, a system for legal analysis. The book presents techniques for representing, indexing, and comparing complex cases and for converting justification structures based on rules and case into natural-language text. This book will interest researchers in artificial intelligence, particularly those involved in case-based reasoning, artificial intelligence and law, and formal models of argumentation, and to scholars in legal philosophy, jurisprudence, and analogical reasoning Artificial Intelligence Philosophy of Law Theories of Law, Philosophy of Law, Legal History Artificial intelligence Political science Law—Philosophy Law Computerunterstütztes Verfahren (DE-588)4139030-1 gnd rswk-swf Recht (DE-588)4048737-4 gnd rswk-swf Analyse (DE-588)4122795-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Recht (DE-588)4048737-4 s Analyse (DE-588)4122795-5 s Computerunterstütztes Verfahren (DE-588)4139030-1 s DE-604 Erscheint auch als Druck-Ausgabe 9789048153749 Erscheint auch als Druck-Ausgabe 9780792361053 Erscheint auch als Druck-Ausgabe 9789401728492 https://doi.org/10.1007/978-94-017-2848-5 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Branting, L. Karl Reasoning with Rules and Precedents A Computational Model of Legal Analysis Artificial Intelligence Philosophy of Law Theories of Law, Philosophy of Law, Legal History Artificial intelligence Political science Law—Philosophy Law Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Recht (DE-588)4048737-4 gnd Analyse (DE-588)4122795-5 gnd |
| subject_GND | (DE-588)4139030-1 (DE-588)4048737-4 (DE-588)4122795-5 (DE-588)4113937-9 |
| title | Reasoning with Rules and Precedents A Computational Model of Legal Analysis |
| title_auth | Reasoning with Rules and Precedents A Computational Model of Legal Analysis |
| title_exact_search | Reasoning with Rules and Precedents A Computational Model of Legal Analysis |
| title_exact_search_txtP | Reasoning with Rules and Precedents A Computational Model of Legal Analysis |
| title_full | Reasoning with Rules and Precedents A Computational Model of Legal Analysis by L. Karl Branting |
| title_fullStr | Reasoning with Rules and Precedents A Computational Model of Legal Analysis by L. Karl Branting |
| title_full_unstemmed | Reasoning with Rules and Precedents A Computational Model of Legal Analysis by L. Karl Branting |
| title_short | Reasoning with Rules and Precedents |
| title_sort | reasoning with rules and precedents a computational model of legal analysis |
| title_sub | A Computational Model of Legal Analysis |
| topic | Artificial Intelligence Philosophy of Law Theories of Law, Philosophy of Law, Legal History Artificial intelligence Political science Law—Philosophy Law Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Recht (DE-588)4048737-4 gnd Analyse (DE-588)4122795-5 gnd |
| topic_facet | Artificial Intelligence Philosophy of Law Theories of Law, Philosophy of Law, Legal History Artificial intelligence Political science Law—Philosophy Law Computerunterstütztes Verfahren Recht Analyse Hochschulschrift |
| url | https://doi.org/10.1007/978-94-017-2848-5 |
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