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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.
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Contenuti
List of Figures. List of Tables. Acknowledgments. 1. Introduction. 2. A Framework for Integrating Rules and Exemplars. 2. A Formal Model of Ratio Decidendi. 4. Grebe: Integrating Rules and Precedents for Legal Analysis. 5. Examples of Grebe's Legal Analysis. 6. Evaluation. 7. Related Work. 8. Research Contributions. References. Appendices. Index.
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Book by Branting L Karl
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Reasoning with Rules and Precedents - A Computational Model of Legal Analysis
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Reasoning with Rules and Precedents
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 240 pp. Englisch. Codice articolo 9780792361053
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Codice articolo 5969157
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Condizione: New. Presents a computational framework for the integration of rules and cases for analytic tasks typified by legal analysis. This book also presents techniques for representing, indexing, and comparing complex cases and for converting justification structures based on rules and case into natural-language text. Num Pages: 232 pages, biography. BIC Classification: LA; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 14. Weight in Grams: 514. . 1999. Hardback. . . . . Codice articolo V9780792361053
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Reasoning with Rules and Precedents
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Springer Netherlands, Springer Netherlands Dez 1999, 1999
ISBN 10: 0792361059
ISBN 13: 9780792361053
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. Codice articolo 9780792361053
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Condizione: New. Presents a computational framework for the integration of rules and cases for analytic tasks typified by legal analysis. This book also presents techniques for representing, indexing, and comparing complex cases and for converting justification structures based on rules and case into natural-language text. Num Pages: 232 pages, biography. BIC Classification: LA; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 14. Weight in Grams: 514. . 1999. Hardback. . . . . Books ship from the US and Ireland. Codice articolo V9780792361053
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