Maxime Morge's Publications
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Computable Models of the Law: Languages, Dialogue, Games, Ontologies.
Maxime Morge. Computable Models of the Law: Languages, Dialogue, Games, Ontologies.. In Computing Argumentation for Decision Making in Legal Disputes, pp. 203–216, Lecture Notes in Artificial Intelligence 4884, Springer-Verlag, 2008.
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Abstract
In this paper, we present a decision support system for lawyer. This system is built upon an argumentation framework for decision making. A logic language is used as a concrete data structure for holding the statements like knowledge, goals, and decisions. Different priorities are attached to these items corresponding to the uncertainty of the knowledge about the circumstances, the lawyer's preferences, and the expected utilities of sentences. These concrete data structures consist of information providing the backbone of arguments. Due to the abductive nature of practical reasoning, arguments are built by reasoning backwards, and possibly by making suppositions over missing information. Moreover, arguments are defined as tree-like structures. In this way, our computer system, implemented in Prolog, suggests some actions and provides an interactive and intelligible explanation of this solution.
BibTeX
@InProceedings{morge08cml,
author = {Maxime Morge},
title = {Computable Models of the Law: Languages, Dialogue,
Games, Ontologies.},
booktitle = {Computing Argumentation for Decision Making in Legal
Disputes},
publisher = {Springer-Verlag},
year = {2008},
volume = {4884},
series = {Lecture Notes in Artificial Intelligence},
pages = {203-216},
isbn = {978-3-540-85568-2},
abstract= {In this paper, we present a decision support system for
lawyer. This system is built upon an argumentation
framework for decision making. A logic language is used
as a concrete data structure for holding the statements
like knowledge, goals, and decisions. Different
priorities are attached to these items corresponding to
the uncertainty of the knowledge about the circumstances,
the lawyer's preferences, and the expected utilities of
sentences. These concrete data structures consist of
information providing the backbone of arguments. Due to
the abductive nature of practical reasoning, arguments
are built by reasoning backwards, and possibly by making
suppositions over missing information. Moreover,
arguments are defined as tree-like structures. In this
way, our computer system, implemented in Prolog, suggests
some actions and provides an interactive and intelligible
explanation of this solution.},
bib2html_pubtype = {LNCS},
bib2html_rescat = {Argumentation, Decision support system},
bib2html_funding = {ArgUGRID}
}
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