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When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.CMN.2013.315
URN: urn:nbn:de:0030-drops-41373
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4137/
Vlek, Charlotte S. ;
Prakken, Henry ;
Renooij, Silja ;
Verheij, Bart
Representing and Evaluating Legal Narratives with Subscenarios in a Bayesian Network
Abstract
In legal cases, stories or scenarios can serve as the context for a
crime when reasoning with evidence. In order to develop a
scientifically founded technique for evidential reasoning, a method is
required for the representation and evaluation of various scenarios in
a case. In this paper the probabilistic technique of Bayesian networks
is proposed as a method for modeling narrative, and it is shown how
this can be used to capture a number of narrative properties.
Bayesian networks quantify how the variables in a case interact.
Recent research on Bayesian networks applied to legal cases includes
the development of a list of legal idioms: recurring substructures in
legal Bayesian networks. Scenarios are coherent presentations of a
collection of states and events, and qualitative in nature. A method
combining the quantitative, probabilistic approach with the narrative
approach would strengthen the tools to represent and evaluate
scenarios.
In a previous paper, the development of a design method for modeling
multiple scenarios in a Bayesian network was initiated. The design
method includes two narrative idioms: the scenario idiom and the
merged scenarios idiom. In this current paper, the method of Vlek, et
al. (2013) is extended with a subscenario idiom and it is shown how
the method can be used to represent characteristic features of
narrative.
BibTeX - Entry
@InProceedings{vlek_et_al:OASIcs:2013:4137,
author = {Charlotte S. Vlek and Henry Prakken and Silja Renooij and Bart Verheij},
title = {{Representing and Evaluating Legal Narratives with Subscenarios in a Bayesian Network}},
booktitle = {2013 Workshop on Computational Models of Narrative},
pages = {315--332},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-939897-57-6},
ISSN = {2190-6807},
year = {2013},
volume = {32},
editor = {Mark A. Finlayson and Bernhard Fisseni and Benedikt L{\"o}we and Jan Christoph Meister},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2013/4137},
URN = {urn:nbn:de:0030-drops-41373},
doi = {10.4230/OASIcs.CMN.2013.315},
annote = {Keywords: Narrative, Scenarios, Bayesian networks, Legal evidence}
}
Keywords: |
|
Narrative, Scenarios, Bayesian networks, Legal evidence |
Collection: |
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2013 Workshop on Computational Models of Narrative |
Issue Date: |
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2013 |
Date of publication: |
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02.08.2013 |