Tag Archives: Modeling legal reasoning

JURIX 2014: Deadline extended to 12 September for call for papers submissions

The submission deadline has been extended to 12 September 2014 for JURIX 2014: International Conference on Legal Knowledge and Information Systems, being held 10-12 December 2014, at Jagiellonian University in Krakow, Poland. For later dates please see the list of … Continue reading

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Vlek et al.: Building Bayesian networks for legal evidence with narratives: A case study evaluation

Charlotte S. Vlek, Henry Prakken, Silja Renooij, and Bart Verheij, have published Building Bayesian networks for legal evidence with narratives: a case study evaluation, forthcoming in Artificial Intelligence and Law. Here is the abstract: In a criminal trial, evidence is … Continue reading

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Francesconi: A description logic framework for accessing and reasoning over normative provisions

Dr. Enrico Francesconi of ITTIG-CNR has published A description logic framework for advanced accessing and reasoning over normative provisions, forthcoming in Artificial Intelligence and Law. Here is the abstract: A model of normative provisions and related axioms represented by using … Continue reading

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Keppens: On modelling non-probabilistic uncertainty in the likelihood ratio approach to evidential reasoning

Dr. Jeroen Keppens of King’s College London has published On modelling non-probabilistic uncertainty in the likelihood ratio approach to evidential reasoning, forthcoming in Artificial Intelligence and Law. Here is the abstract: When the likelihood ratio approach is employed for evidential … Continue reading

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Call for papers: JURIX 2014: International Conference on Legal Knowledge and Information Systems

A call for papers has been posted for JURIX 2014: International Conference on Legal Knowledge and Information Systems, being held 10-12 December 2014, at Jagiellonian University in Krakow, Poland. There are many submission deadlines, the earliest being 5 September 2014 … Continue reading

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Ashley: Toward Integrating Computational Models and Legal Texts

Professor Dr. Kevin Ashley of the University of Pittsburgh gave a presentation entitled Toward Integrating Computational Models and Legal Texts, on 6 February 2014 at Stanford Law School. Click here for video of the presentation. The talk was part of … Continue reading

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Fenton et al.: Calculating the value of match evidence when there are potential testing errors

Professor Dr. Norman Fenton, Professor Dr. Martin Neil, and Dr. Anne Hsu, all of Queen Mary University of London, have published Calculating and understanding the value of any type of match evidence when there are potential testing errors, forthcoming in … Continue reading

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