Comparing Alternatives in the law*Artificial Intelligence and Law - Tập 12 - Trang 181-225 - 2005
Jaap Hage
This paper argues the thesis that a particular style of reasoning, qualitative
comparative reasoning (QCR), plays a role in at least three areas of legal
reasoning that are central in AI and law research, namely legal theory
construction, case-based reasoning in the form of case comparison, and legal
proof. The paper gives an informal exposition of one particular way to deal with
QCR, based on the... hiện toàn bộ
Versioned linking of semantic enrichment of legal documentsArtificial Intelligence and Law - Tập 21 - Trang 485-519 - 2013
Ákos Szőke, András Förhécz, Gábor Kőrösi, György Strausz
Regulations affect every aspect of our lives. Compliance with the regulations
impacts citizens and businesses similarly: they have to find their rights and
obligations in the complex legal environment. The situation is more complex when
languages and time versions of regulations should be considered. To propose a
solution to these demands, we present a semantic enrichment approach which aims
at (1... hiện toàn bộ
Teleological arguments and theory-based dialecticsArtificial Intelligence and Law - Tập 10 - Trang 95-112 - 2002
Giovanni Sartor
This paper proposes to model legal reasoning asdialectical
theory-constructiondirected by teleology. Precedents are viewed asevidence to be
explained throughtheories. So, given a background of factors andvalues, the
parties in a case canbuild their theories by using a set of operators,which are
called theory constructors.The objective of each party is to provide
theoriesthat both explain the evide... hiện toàn bộ
Advanced techniques for legal document processing and retrievalArtificial Intelligence and Law - Tập 7 - Trang 341-361 - 1999
E. Pietrosanti, B. Graziadio
A large interest has been dedicated in recent years to the study of models for
textual databases amenable to an effective integration of search and navigation
functions. In the field of legal databases the need for sophisticated models is
emphasised by the need to relate and combine in an effective way different types
of texts, in order to solve legal problems. In our research we have analysed
sev... hiện toàn bộ
Definitions of intent suitable for algorithmsArtificial Intelligence and Law - Tập 31 - Trang 515-546 - 2022
Hal Ashton
This article introduces definitions for direct, means-end, oblique (or indirect)
and ulterior intent which can be used to test for intent in an algorithmic
actor. These definitions of intent are informed by legal theory from common law
jurisdictions. Certain crimes exist where the harm caused is dependent on the
reason it was done so. Here the actus reus or performative element of the crime
is dep... hiện toàn bộ
Argumentation miningArtificial Intelligence and Law - Tập 19 - Trang 1-22 - 2011
Raquel Mochales, Marie-Francine Moens
Argumentation mining aims to automatically detect, classify and structure
argumentation in text. Therefore, argumentation mining is an important part of a
complete argumentation analyisis, i.e. understanding the content of serial
arguments, their linguistic structure, the relationship between the preceding
and following arguments, recognizing the underlying conceptual beliefs, and
understanding wi... hiện toàn bộ
BankXX: Supporting legal arguments through heuristic retrievalArtificial Intelligence and Law - Tập 4 - Trang 1-71 - 1996
Edwina L. Rissland, David B. Skalak, M. Timur Friedman
The BankXX system models the process of perusing and gathering information for
argument as a heuristic best-first search for relevant cases, theories, and
other domain-specific information. As BankXX searches its heterogeneous and
highly interconnected network of domain knowledge, information is incrementally
analyzed and amalgamated into a dozen desirable ingredients for argument (called
argument... hiện toàn bộ
Editors' introductionArtificial Intelligence and Law - Tập 4 - Trang 157-161 - 1996
Henry Prakken, Giovanni Sartor