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Books > Computing & IT > Applications of computing > Artificial intelligence
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Reasoning with Rules and Precedents - A Computational Model of Legal Analysis (Paperback, Softcover reprint of hardcover 1st ed. 2000)
Loot Price: R2,873
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Reasoning with Rules and Precedents - A Computational Model of Legal Analysis (Paperback, Softcover reprint of hardcover 1st ed. 2000)
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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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