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Articles 31 - 60 of 124
Full-Text Articles in Evidence
How Much Is Too Much? Rule 704(B) Opinions On Personal Use Vs. Intent To Distribute, Dana R. Hassin
How Much Is Too Much? Rule 704(B) Opinions On Personal Use Vs. Intent To Distribute, Dana R. Hassin
University of Miami Law Review
No abstract provided.
Response, Dana R. Hassin
Admissibility Of Plea Agreements On Direct Examination: The Limits Vanish, Professor Daniel J. Capra
Admissibility Of Plea Agreements On Direct Examination: The Limits Vanish, Professor Daniel J. Capra
University of Miami Law Review
No abstract provided.
Statements Of Bystanders To Police Officers Containing An Accusation Of Criminal Conduct Offered To Explain Subsequent Police Conduct, Joëlle Hervic
Statements Of Bystanders To Police Officers Containing An Accusation Of Criminal Conduct Offered To Explain Subsequent Police Conduct, Joëlle Hervic
University of Miami Law Review
No abstract provided.
Out-Of-Court Accusations Offered For "Background": A Measured Response From The Federal Courts, Professor Daniel J. Capra
Out-Of-Court Accusations Offered For "Background": A Measured Response From The Federal Courts, Professor Daniel J. Capra
University of Miami Law Review
No abstract provided.
A Reply To Professor Capra, Joëlle Harvic
A Reply To Professor Capra, Joëlle Harvic
University of Miami Law Review
No abstract provided.
The Exception That Swallows The Rule: The Disparate Treatment Of Federal Rule Of Evidence 804(B)(3) As Interpreted In United States V. Williamson, Richard T. Sahuc
The Exception That Swallows The Rule: The Disparate Treatment Of Federal Rule Of Evidence 804(B)(3) As Interpreted In United States V. Williamson, Richard T. Sahuc
University of Miami Law Review
No abstract provided.
The Future Implications Of Lilly V. Virginia, Jennifer Christianson
The Future Implications Of Lilly V. Virginia, Jennifer Christianson
University of Miami Law Review
No abstract provided.
Tales Out Of School-Spillover Confessions And Against-Interest Statements Naming Others, Professor Christopher B. Mueller
Tales Out Of School-Spillover Confessions And Against-Interest Statements Naming Others, Professor Christopher B. Mueller
University of Miami Law Review
No abstract provided.
Rebuttal, Bryant M. Richardson
Admissibility Of Polygraph Evidence And Repressed Memory Evidence When Offered By The Accused, Yvette J. Bessent
Admissibility Of Polygraph Evidence And Repressed Memory Evidence When Offered By The Accused, Yvette J. Bessent
University of Miami Law Review
No abstract provided.
Evidence Of Innocence Offered By The Criminal Defendant: "Not So Fast"; Response, Professor Kenneth W. Graham Jr.
Evidence Of Innocence Offered By The Criminal Defendant: "Not So Fast"; Response, Professor Kenneth W. Graham Jr.
University of Miami Law Review
No abstract provided.
Response, Yvette J. Bessent
A Response To Professor Graham, Brett C. Powell
A Response To Professor Graham, Brett C. Powell
University of Miami Law Review
No abstract provided.
A Response To Professor Graham, Thomas Dillickrath
A Response To Professor Graham, Thomas Dillickrath
University of Miami Law Review
No abstract provided.
Introduction: A Personal Perspective On "Artificial Intelligence And Judicial Proof", Peter Tillers
Introduction: A Personal Perspective On "Artificial Intelligence And Judicial Proof", Peter Tillers
Cardozo Law Review
No abstract provided.
Artificial Intelligence, Mindreading, And Reasoning In Law, John A. Barnden, Donald M. Peterson
Artificial Intelligence, Mindreading, And Reasoning In Law, John A. Barnden, Donald M. Peterson
Cardozo Law Review
No abstract provided.
What Is "Common" About Common Sense?: Cautionary Tales For Travelers Crossing Disciplinary Boundaries, Marilyn Maccrimmon
What Is "Common" About Common Sense?: Cautionary Tales For Travelers Crossing Disciplinary Boundaries, Marilyn Maccrimmon
Cardozo Law Review
No abstract provided.
Theories Of Uncertainty: Explaining The Possible Sources Of Error In Inferences, Vern R. Walker
Theories Of Uncertainty: Explaining The Possible Sources Of Error In Inferences, Vern R. Walker
Cardozo Law Review
No abstract provided.
Saving Desdemona, Ron A. Shapira
Alternative Views Of Argument Construction From A Mass Of Evidence, David A. Schum
Alternative Views Of Argument Construction From A Mass Of Evidence, David A. Schum
Cardozo Law Review
No abstract provided.
Explaining Relevance, Paolo Garbolino
Models Of Data Generation Vs. Models Of Events That Generate Data, Ward Edwards
Models Of Data Generation Vs. Models Of Events That Generate Data, Ward Edwards
Cardozo Law Review
No abstract provided.
Serendipity And Abduction In Proofs, Presumptions, And Emerging Laws, Pek Van Andel, Danièle Bourcier
Serendipity And Abduction In Proofs, Presumptions, And Emerging Laws, Pek Van Andel, Danièle Bourcier
Cardozo Law Review
No abstract provided.
On The Proof Dynamics Of Inference To The Best Explanation, John R. Josephson
On The Proof Dynamics Of Inference To The Best Explanation, John R. Josephson
Cardozo Law Review
"Inference to the best explanation" - here called "abduction" - is a distinctive and recognizable pattern of evidential reasoning. It is ubiquitous at or near the surface of typical arguments offered in judicial and scientific contexts, and in ordinary life. It is part of "commonsense logic." An abductive argument is open to attack in characteristic ways, and may be defended in characteristic ways by supporting arguments. Abductive arguments are fallible, but there are only a small number of ways in which they can go wrong. This analysis provides a framework for justification, criticism, and dialogue concerning the evaluation of evidence. …
Species Of Abductive Reasoning In Fact Investigation In Law, David A. Schum
Species Of Abductive Reasoning In Fact Investigation In Law, David A. Schum
Cardozo Law Review
No abstract provided.
Abductive Reasoning In Law: Taxonomy And Inference To The Best Explanation, Kola Abimbola
Abductive Reasoning In Law: Taxonomy And Inference To The Best Explanation, Kola Abimbola
Cardozo Law Review
No abstract provided.
Logical Argumentation, Abduction And Bayesian Decision Theory: A Bayesian Approach To Logical Arguments And Its Application To Legal Evidential Reasoning, David Poole
Cardozo Law Review
There are good normative arguments for using Bayesian decision theory for deciding what to do. However, there are also good arguments for using logic where we want formal semantics for a language, and where we want to use the structure of logical argumentation with logical variables to represent multiple individuals (things). This Article shows how decision theory and logical argumentation can be combined into a coherent framework. The Independent Choice Logic ("ICL") can be viewed as a first-order representation of belief networks with conditional probability tables represented as first-order rules, or as a abductive/argument-based logic with probabilities over assumables. Intuitively …
Structured Deliberation For Dynamic Uncertain Inference, Paul Snow, Marianne Belis
Structured Deliberation For Dynamic Uncertain Inference, Paul Snow, Marianne Belis
Cardozo Law Review
Dynamic uncertain inference is the formation of opinions based upon evidence or argument whose availability is neither disclosed to the analyst in advance nor disclosed all at once. Normative accounts of belief change, which work well when the analyst has prior notice of well-designed experiments and their possible outcomes, may not be applicable to less tidy occasions of inference. In addition, there is the clerical challenge of keeping track of what has been observed, what relates to what, and how. This Article begins with a discussion of subjective valuation in general. An approach to deliberation, similar to what is practiced …
Computational Inference For Evidential Reasoning In Support Of Judicial Proof, Tod S. Levitt, Kathryn Blackmond Laskey
Computational Inference For Evidential Reasoning In Support Of Judicial Proof, Tod S. Levitt, Kathryn Blackmond Laskey
Cardozo Law Review
The process of judicial proof accrues evidence to confirm or deny hypotheses about world events relevant to a legal case. Software applications that seek to support this process must provide the user with sophisticated capabilities to manipulate evidential reasoning for legal cases. This requires computational techniques to represent the actors, entities, events, and context of world situations to structure alternative hypotheses interpreting evidence and to execute processes that draw inferences about the truth of hypotheses by assessing the relevance and weight of evidence to confirm or deny the hypotheses. Bayesian inference networks are combined with knowledge representations from artificial intelligence …