Case-Based Reasoning in a Rule-Governed Domain

Abstract

In this paper, we discuss the problem of reasoning with cases in a domain governed by rules, in particular, the problems of interpreting the meaning of terms (statutory predicates) used in the rules and combining case-based reasoning (CBR) with other Modes of reasoning, such as rule-based (RBR) and model-based reasoning. Terms used in statutes are typically underdefined in the statute and inherently open-textured and thus require precedent-based reasoning to interpret their meaning for particular fact situations. In such domains one needs to combine reasoning about the rules (statutes) with the precedents that concern them. We describe our precedent-based case-based reasoner TAX-HYPO that operates in the statutory domain of tax law. TAX-HYPO is a derivative system of our earlier CBR system HYPO which operated in the common law domain of trade secret law. We describe our system (CABARET which is an environment to support (1) building precedent-based CBR systems like IIYPO and TAX-HYPO; and (2) experimentation with mixed paradigm systems involving CBR. In particular, we discuss some of the heuristics we use to control and combine reasoning with cases and rules.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA249333

Entities

People

  • David B. Skalak
  • Edwina L. Rissland

Organizations

  • University of Massachusetts Amherst

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Cognitive Science
  • Commerce
  • Computer Programs
  • Computers
  • Expert Systems
  • Information Science
  • Language
  • Law
  • Lisp Programming Language
  • Massachusetts
  • Mathematics
  • Models
  • New York
  • Reasoning
  • Trade Secrets

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Government and Public Administration Law.