Learning and reasoning by analogy
Communications of the ACM
Version spaces: an approach to concept learning.
Version spaces: an approach to concept learning.
On primitives, prototypes, and other semantic anomalies
TINLAP '78 Proceedings of the 1978 workshop on Theoretical issues in natural language processing
I yield one minute…: an analysis of the final speeches from the House impeachment hearings
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
The Role of Logic in Computational Models of Legal Argument: A Critical Survey
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Generating dialectical examples automatically
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Modeling social causality and responsibility judgment in multi-agent interactions
Journal of Artificial Intelligence Research
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One of the principal goals of the TAXMAN project is to develop a theory about the structure and dynamics of legal concepts, using corporate tax law as an experimental problem domain In this paper we describe the "prototype* plus-deformation" model of legal conceptual structure a concept is represented here by a prototypical description plus a sequence of deformations of the prototype, where the deformations are selected from among the possible "mappmga" of one concrete description into another The paper focuses on the set of mappings, which is the most important component of the model because it makes manifest the basic coherence of the conceptual space The syntax and semantics of the mappings are described, and their role in the process of legal argument is suggested The formal modal is then illustrated by examples drawn from Eisner v Macomber, an early stock dividend case.