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The dynamics of judicial proof : computation, logic, and common sense

Author: M MacCrimmon; Peter Tillers
Publisher: Heidelberg ; New York : Physica-Verlag, cop.
Series: Studies in fuzziness and soft computing, vol. 94.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

The papers in this collection consider whether computational or other formal logical methods developed in disciplines such as artificial intelligence, decision theory and probability theory can  Read more...

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Details

Document Type: Book
All Authors / Contributors: M MacCrimmon; Peter Tillers
ISBN: 3790814598 9783790814590
OCLC Number: 494693621
Description: 1 vol. (XVII-494 p.) : ill. ; 24 cm.
Contents: Making Sense of the Process of Proof in Litigation.- One: Common Sense Reasoning.- Artificial Intelligence, Mindreading, and Reasoning in Law.- Common Sense, Rationality and the Legal Process.- What Is "Common" about Common Sense? Cautionary Tales for Travelers Crossing Disciplinary Boundaries.- Two: Fuzzy and Rough Logic.- From Computing with Numbers to Computing with Words: From Manipulation of Measurements to Manipulation of Perceptions.- Fuzzy Logic and Its Application to Legal Reasoning - A Comment to Professor Zadeh.- A Primer on Rough Sets: A New Approach to Drawing Conclusions from Data.- Three: The Structure of Factual Inference in Judicial Settings.- Alternative Views of Argument Construction from a Mass of Evidence.- Explaining Relevance.- Theories of Uncertainty: Explaining the Possible Sources of Error in Inferences.- Models of Data Generation vs. Models of Events that Generate Data.- Four: Dynamic Inference and Choice in Dynamic Environments.- Action and Procedure in Reasoning.- Decision Analysis and Law.- Five: Abductive Inference.- Serendipity and Abduction in Proofs, Presumptions and Emerging Laws.- On the Proof Dynamics of Inference to the Best Explanation.- Species of Abductive Reasoning in Fact Investigation in Law.- Abductive Reasoning in Law: Taxonomy and Inference to the Best Explanation.- Six: From Theory to Practice: "Intelligent" Procedures for Drawing Inferences in Static and Dynamic Legal Environments.- Computational Inference for Evidential Reasoning in Support of Judicial Proof.- Logical Argumentation, Abduction and Bayesian Decision Theory: A Bayesian Approach to Logical Arguments and Its Application to Legal Evidential Reasoning.- Structured Deliberation for Dynamic Uncertain Inference.- Seven: Judicial Proof and Economic Rationality.- Saving Desdemona.- Othello Could Not Optimize: Economics, Hearsay, and Less Adversary Systems.- Eight: Causality.- Causality and Responsibility.- Liability for Increased Risk of Harm: A Lawyer's Response to Professor Shafer.
Series Title: Studies in fuzziness and soft computing, vol. 94.
Responsibility: Marilyn MacCrimmon, Peter Tillers editors.

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