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H. Prakken, G. Sartor (2002)
The Role of Logic in Computational Models of Legal Argument: A Critical Survey
(1997)
1997Appeal to Expert Opinion
W. Seagle, J. Wigmore (1931)
The Principles of Judicial ProofJournal of Criminal Law & Criminology, 24
D. Schum (1994)
The Evidential Foundations of Probabilistic Reasoning
(1998)
Common sense and the mind of HAL
H. Crombag, W. Wagenaar, P. Koppen (1994)
Anchored Narratives: The Psychology of Criminal Evidence
J. Pollock (1995)
Cognitive Carpentry: A Blueprint for How to Build a Person
J. Pollock (1998)
Perceiving and Reasoning about a Changing WorldComputational Intelligence, 14
Jeroen Keppens, John Zeleznikow (2002)
On the Role of Model-based Reasoning in Decision Support in Crime Investigation
(1991)
Marshalling evidence for adversary litigation
Bart Verheij (2000)
Dialectical Argumentation As A Heuristic For Courtroom Decision Making
T. Engers (2001)
POWER: using UML/OCL for modeling legislation - an application report
(1969)
The New Rhetoric (La Nouvelle Rhetorique) Notre Dame
J. Griffiths (2000)
Rationality, information and progress in law and psychology
J. Kadane, D. Schum (1996)
A Probabilistic Analysis of the Sacco and Vanzetti Evidence
J. Pollock (1987)
Defeasible ReasoningCogn. Sci., 11
T. Anderson (1999)
On Generalizations I: a Preliminary ExplorationSouth Texas Law Review, 40
(2002)
Logical systems for defeasible argumentation
R. Brooks (1991)
Intelligence without RepresentationArtif. Intell., 47
G. Vesey, J. Pollock (1976)
Knowledge and Justification.The Philosophical Quarterly, 26
M. Ginsberg (1987)
Readings in Nonmonotonic Reasoning
R. Loui (1987)
Defeat among arguments: a system of defeasible inferenceComputational Intelligence, 3
(1999)
Necessary but dangerous? Generalizations and narrative in argumentation about ‘facts’ in criminal process.Complex Cases. Perspectives on the Netherlands Criminal Justice System
(2001)
1998From 2001to 2001: Common sense and the mind of HAL, HAL’s Legacy: 2001’s Computer as Dream and Reality
(1992)
Epsilon-semantics
D. Schum (2002)
Alternative Views of Argument Construction from a Mass of Evidence
D. Walton (1995)
Argumentation Schemes for Presumptive Reasoning
N. Rescher (1977)
Dialectics: A Controversy-Oriented Approach to the Theory of Knowledge
H. Prakken, C. Reed, D. Walton (2003)
Argumentation Schemes and Generalizations in Reasoning about Evidence
Jin-Tan Yang (2003)
Visualizing Argumentation -Software Tools for Collaborative and Educational Sense-MakingJ. Educ. Technol. Soc., 6
Abstract This paper is on the formal modelling of reasoning about evidence. The main purpose is to advocate logical approaches as a worthwhile alternative to approaches rooted in probability theory. In particular, the use of logics for defeasible argumentation is investigated. Such logics model reasoning as the construction and comparison of arguments for and against a conclusion; this makes them very suitable for capturing the adversarial aspects that are so typical for legal evidential reasoning. Also, it will be shown that they facilitate the explicit modelling of different kinds of knowledge, such as the distinction between direct vs. ancillary evidence, and the explicit modelling of different types of evidential arguments, such as appeals to witness or expert opinion, applying generalizations, or temporal projections. Received 6 June 2003. Revised 24 December 2003. Author notes 1Institute of Information and Computing Sciences, Utrecht University, PO Box 80 089, 3508 TB Utrecht, The Netherlands Copyright Oxford University Press 2004
Law, Probability and Risk – Oxford University Press
Published: Mar 1, 2004
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