Legal knowledge acquisition using case-based reasoning and model inference

ABSTRACT

Although Case-Based Reasoning comes out in order to solve knowledge acquisition bottleneck, a case structure acquisition bottleneck has emerged, superseding it. Because we cannot decide an appropriate case structure in advance, a framework for CBR should be able to improve a case structure dynamically, collecting and analyzing cases. Here is discussed a new framework for knowledge acquisition using CBR and model inference. Model Inference tries to obtain new descriptors(predicates) with interaction of a domain expert, regarding the predicate as the slots that compose a case structure, with an eye to the function of theoretical term generation. The framework has two features: (1) CBR obtains a more suitable group of slots (a case structure) incrementally through cooperation with model inference, and (2) model inference with theoretical term capability discovers the rules which deal with a given task better. Furthermore, we evaluate the feasibility of the framework by implementing it to deal with law interpretation and certify two features with the framework.

REFERENCES

• 1: S.Muggleton editor: Inductive Logic Programming, Academic Press(1992)
• 2: S.Muggleton, W.Buntine : Machine Invention of First-order Predicates by Inverting Resolution, Proc. 5th ICML, pp.339-352 (1988)
• 3: Christopher K. Riesbeck , Roger C. Schank, Inside Case-Based Reasoning, Lawrence Erlbaum Associates, Inc., Mahwah, NJ, 1989
• 4: Kevin D. Ashley , Edwina L. Rissland, A Case-Based Approach to Modeling Legal Expertise, IEEE Expert: Intelligent Systems and Their Applications, v.3 n.3, p.70-77, September 1988 [doi>10.1109/64.21892]
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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.1 Applications and Expert Systems
          Subjects: Law

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.6 Learning
          Subjects: Knowledge acquisition

General Terms:
Design, Legal Aspects, Theory