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Modeling legal argument - reasoning with cases and hypotheticals
  • Kevin D. Ashley
  • Computer Science
  • Artificial intelligence and legal reasoning
  • 21 February 1991
TLDR
This dissertation is about adversarial, case-based reasoning and the HYPO program that performs adversarial reasoning with cases and hypotheticals in the legal domain. Expand
Predicting outcomes of case based legal arguments
TLDR
In this paper, we introduce IBP, an algorithm that combines reasoning with an abstract domain model and case-based reasoning techniques to predict the outcome of legal arguments. Expand
Reasoning with Cases and Hypotheticals in HYPO
TLDR
HYPO is a case-based reasoning system that evaluates problems by comparing and contrasting them with cases from its Case Knowledge Base (CKB). Expand
Modelling Legal Argument: Reasoning with Cases and Hypotheticals, a Thesis Proposal.
TLDR
This thesis proposal outlines a program, HYPO, to model reasoning with cases and hypotheticals. Expand
Defining "Ill-Defined Domains"; A literature survey.
In order to make progress on Intelligent Tutoring in ill-defined domains it is helpful to start with a definition. In this paper we consider the existing definitions and select one for the basis ofExpand
Automatically classifying case texts and predicting outcomes
Work on a computer program called SMILE + IBP (SMart Index Learner Plus Issue-Based Prediction) bridges case-based reasoning and extracting information from texts. The program addresses aExpand
A case-based system for trade secrets law
TLDR
In this paper, we give an overview of our case-based reasoning program, HYPO, which operates in the field of trade secret law. Expand
Textual case-based reasoning
TLDR
This commentary provides a definition of textual case-based reasoning (TCBR) and surveys research contributions according to four research questions. Expand
A case-based approach to modeling legal expertise
TLDR
Hypo, a computer program that performs case-based reasoning in the legal domain, helps attorneys analyze and make arguments about new fact situations in terms of the most relevant precedent cases. Expand
Evaluating a learning environment for case-based argumentation skills
TLDR
CAT0 is an intelligent learning environment designed to help &@ting law students learn basic skills of making arguments with cases, through practice in theory-testing and argumentation tasks. Expand
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