Access the full text.
Sign up today, get DeepDyve free for 14 days.
(1992)
Towards a Logical Theory of Legal Evidence: Semantic Analysis of the Bolding– Ekelöf Degrees of Evidential Strength
(1992)
Towards a logical theory of legal evidence : Semantic analysisof the BoldingEkel of degrees of evidential strength
E. Nissan (1997)
EMOTION, CULTURE, COMMUNICATIONPragmatics & Cognition, 5
(2000)
The Jama Legal Narrative
(1992)
Towards a logical theory of legal evidence: Semantic analysis of the Bolding-Ekell of degrees of evidential strength Expert Systems in Law
(1998)
Formal Models of Legal Time: Law, Computers and Artificial Intelligence, special issue of Information and Communications Technology Law 7(3)
E. Nissan (1997)
Logica delle norme
W. Spohn (1988)
Ordinal Conditional Functions: A Dynamic Theory of Epistemic States
eds) (1998a) Formal Models of Legal Time: Law, Computers and Artiicial Intelligence, special issue of Information and Communications Technology Law
Fadel Eldeen, T. Kuflik, E. Nissan, Gilad Puni, Roni Salfati, Yuval Shaul, Auni Spanioli (1993)
Interpretation of Imputed Behavior in ALIBI (1 to 3) and SKILL
C. Breur (2000)
New trends in criminal investigation and evidence
E. Nissan (2001)
Can You Measure Circumstantial Evidence? The Background of Probative Formalisms for LawInformation & Communications Technology Law, 10
J. Pearl (1993)
From Conditional Oughts to Qualitative Decision Theory
S. Shimony, Eugene Charniak (1990)
A new algorithm for finding MAP assignments to belief networks
(1998)
La prova giudiziaria: area emergente dell Oltre la statistica forense e l'algebra delle giurie, l'integrazione di metodi AI per affrontare un dominio proteiforme
Isabella Rosoni (1995)
Quae singula non prosunt collecta iuvant. La teoria della prova indiziaria nell'età medievale e moderna
La prova giudiziaria : area emergente dell ’ “ AI & Law ” . Oltre la statistica forense e l ’ algebra delle giurie , l ’ integrazione di metodi AI per affrontare un dominio proteiforme
S. Shimony (1995)
The role of relevance in explanation II: Disjunctive assignments and approximate independenceInt. J. Approx. Reason., 13
T. Kuflik, E. Nissan, G. Puni (1991)
Finding Excuses with ALIBI: Alternative Plans that are Deontically More DefensibleComputers and Artificial Intelligence, 10
(1998)
On the Atemporality of Legal Time
Eugene Charniak, S. Shimony (1994)
Cost-Based Abduction and MAP ExplanationArtif. Intell., 66
M. Henrion, G. Provan, B. Favero, Gillian Sanders (1994)
An Experimental Comparison of Numerical and Qualitative Probabilistic ReasoningArXiv, abs/1302.6818
(1997)
Notions of Place (2 parts)
(1990)
A new algorithm for nding MAPassignments to belief networks
(1998)
1998b) La prova giudiziaria: area emergente dell
I. Kvart (1994)
Overall Positive Causal ImpactCanadian Journal of Philosophy, 24
T. Kuflik, E. Nissan, Gilad Puni (1991)
Finding excuses with ALIBI : alternative plans that are deontically more defensibleComputing and Informatics \/ Computers and Artificial Intelligence, 10
B. Jackson (1998)
Truth or Proof?: The Criminal VerdictInternational Journal for the Semiotics of Law, 11
(1990)
A new algorithm for nding MAP
O. Bolding (1960)
Aspects of the burden of proof
E. Nissan (2001)
The Jama Legal Narrative Part II: A Foray into Concepts of ImprobabilityInformation & Communications Technology Law, 10
L. Åqvist (1992)
Expert Systems in Law
E. Nissan (2000)
Artificial intelligence and criminal evidence: A few topics
(1964)
Free Evaluation of Evidence
(1990)
Probabilistic semantics for cost-based
(1994)
Belief updating by enumerating
(1994)
Belief updating by enumeratinghighprobability independencebased assignments
(1992)
Towards a logical theory of legal evidence: Semantic analysis
Eugene Charniak, S. Shimony (1990)
Probabilistic Semantics for Cost Based Abduction
E. Nissan, A. Dragoni (2000)
Exoneration, and reasoning about it: a quick overview of three perspectives
S. E. Shimony, E. Charniak (1990)
Uncertainty in Artificial Intelligence: Proceedings of the Sixth Conference
E. Charniak, S. E. Shimony (1990)
Proceedings of the 11th Annual National Conference on Artificial Intelligence (AAAI'90)
B. Jackson (1998)
Bentham, Truth and the Semiotics of LawCurrent Legal Problems, 51
D. Schum (2001)
Evidence marshaling for imaginative fact investigationArtificial Intelligence and Law, 9
S. Shimony (1993)
The role of relevance in explanation I: Irrelevance as statistical independenceInt. J. Approx. Reason., 8
E. Nissan (1995)
SEPPHORIS: An Augmented Hypergraph-Grammar Representation for Events, Stipulations, and Legal PrescriptionsLaw, Computers, and Artificial Intelligence, 4
B. Jackson (1998)
Temps et Droit. Le droit a-t-il pour vocation de durer
B. Jackson (1998)
Truth or proof?: The criminal verdictRevue internationale de semiotique juridique, 11
(1997)
Emotion Culture, Communication. Pragmatics and Cognition
E. Nissan, A. F. Dragoni (2000)
Proceedings of the International ICSC Congress “Intelligent Systems & Applications” (ISA'2000), December 11-15
La prova giudiziaria : area emergente dell ' \ AI & Law " . Oltre la statistica forense e l ' algebra delle giurie , l ' integrazionedi metodi AI per a rontare un dominio proteiforme
M. Freeman (1998)
Legal theory at the end of the millennium
(1998)
On the Atemporality of Legal Time Temps et Droit. Le droit a-t-il pour vocation de durer
(1998)
La prova giudiziaria: area emergente dell’ “AI & Law
W. Spohn (1988)
Causation in Decision, Belief Change, and Statistics
E. Nissan (1999)
Proceedings of the Second World Conference on New Trends in Criminal Investigation and Evidence. Amsterdam, 10-15 December 1999
(1998)
Formal Models of Legal Time: Law, Computers and Artificial Intelligence, special issue of Information and Communications Technology Law
(1988)
A dynamic theory of epistemic states Causation in Decision
E. Nissan (1995)
SEPPHORIS: An augmented hypergraph‐grammar representation for events, stipulations, and legal prescriptionsInformation & Communications Technology Law, 4
(1998)
La prova giudiziaria: area emergente dell' \AI & Law". Oltre la statistica forense e l'algebra delle giurie, l'integrazione di metodi AI per aarontare un dominio proteiforme
E. Santos, S. Shimony (1994)
Belief Updating by Enumerating High-Probability Independence-based AssignmentsArXiv, abs/1302.6842
Lennart Åqvist (1992) proposed a logical theory of legal evidence, based on the Bolding-Ekelöf of degrees of evidential strength. This paper reformulates Åqvist's model in terms of the probabilistic version of the kappa calculus. Proving its acceptability in the legal context is beyond the present scope, but the epistemological debate about Bayesian Law isclearly relevant. While the present model is a possible link to that lineof inquiry, we offer some considerations about the broader picture of thepotential of AI & Law in the evidentiary context. Whereas probabilisticreasoning is well-researched in AI, calculations about the threshold ofpersuasion in litigation, whatever their value, are just the tip of theiceberg. The bulk of the modeling desiderata is arguably elsewhere, if one isto ideally make the most of AI's distinctive contribution as envisaged forlegal evidence research.
Artificial Intelligence and Law – Springer Journals
Published: Oct 19, 2004
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.