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CABARET: Rule Interpretation in a Hybrid Architecture
TLDR
A system CABARET (CAse-BAsed REasoning Tool) is described that provides a domain-independent shell that integrates reasoning with rules and reasoning with previous cases in order to apply rules containing ill-defined terms. Expand
Cognitive Science: An Introduction
Cognitive Science is a single-source undergraduate text that broadly surveys the theories and empirical results of cognitive science within a consistent computational perspective. In addition toExpand
Arguments and cases: An inevitable intertwining
TLDR
This work presents an evolving taxonomy of patterns of actual legal argument, which builds upon the much earlier work on ‘argument moves’ and also on the more recent analysis of how cases are used to support arguments for the interpretation of legal statutes. Expand
Dimension-based analysis of hypotheticals from supreme court oral argument
TLDR
The idea of a “dimension,” developed previously in the case-based reasoning system HYPO, is used to analyze the hypotheticals and to speculate on how the Justices might have arrived at them. Expand
Combining Case-Based and Rule-Based Reasoning: A Heuristic Approach
TLDR
A heuristically controlled approach to combining reasoning with cases and reasoning with rules, and the need for melding case-based and rule-based reasoning on statutory interpretation problems is described. Expand
A case-based approach to modeling legal expertise
TLDR
The authors demonstrate how Hypo critically compares a problem situation to the most relevantly similar precedent cases to outline an argument regarding how to decide the current fact situation based on its significant similarities to and differences from most on point cases. Expand
A case-based system for trade secrets law
TLDR
An overview of the case-based reasoning program, HYPO, which operates in the field of trade secret law, and an extended example of HYPO working through a hypothetical trade secrets case, patterned after an actual case. Expand
AI and Law: A fruitful synergy
TLDR
This special issue reports on a range of projects, from those where the law motivates fundamental research and whose results reach beyond the legal domain, to those that partake of the benefits of techniques and wisdom from AI as a whole. Expand
A note on dimensions and factors
TLDR
The basic ideas about dimensions, used in HYPO, and differences with factors, as used in subsequent systems like CATO are reviewed, and the goal is to correct certain misconceptions that have arisen over the years. Expand
AI and Similarity
TLDR
The author presents some suggested research directions for furthering the understanding of similarity-driven reasoning, analogy, learning, and explanation in AI. Expand
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