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Int. J. Man-Machine Studies (1991) 34, 753-7% Reasoning with cases and hypotheticals in HYPO

Summary: Int. J. Man-Machine Studies (1991) 34, 753-7%
Reasoning with cases and hypotheticals in HYPO
Universiry of Pittsburgh, School of Law and Learning, Research and Development
Center, Pittsburgh, Pennsylvania 15260, USA
HYPO is a case-based reasoning system that evaluates problems by comparing and
contrasting them with cases from its Case Knowledge Base (CICB). It generates legal
arguments citing the past cases as justifications for legal conclusions about who
should win in problem disputes involving trade secret law. HYPO's arguments
present competing adversarial views of the problem and it poses hypotheticals to
alter the balance of the evaluation. HYPO uses Dimensions as a generalization
scheme for accessing and evaluating cases. HYPO's reasoning process and various
computational definitions are described and illustrated, including its definitions for
computing relevant similarities and differences, the most on point and best cases to
cite, four kinds of counter-examples, targets for hypotheticals and the aspects of a
case that are salient in various argument roles. These definitions enable HYPO to
make contextually sensitive assessments of relevance and salience without relying
on either a strong domain theory or a priori weighting schemes.
1. Introduction
Learning from past experience is a hallmark of intelligence. Decision makers faced


Source: Ashley, Kevin D. - Learning Research and Development Center, University of Pittsburgh


Collections: Computer Technologies and Information Sciences