Learning Index Rules and Adaptation Functions for a Communications Network Fault Resolution System

Lundy Lewis and Steve Sycamore

Cabletron Systems, Inc.9 Executive Park DriveMerrimack, NH 03054lewis@ctron.comsycamore@ctron.com

Abstract

Case-based reasoning (CBR) operates by remembering, adapting, executing, and storing episodes of problem-solving in a case library. Two requirements for CBR systems are (i) a set of retrieval rules and (ii) a set of adaptation functions. Current practice is to handcraft index rules and adaptation functions manually. This approach is time-consuming and lacks ability to grow beyond its initial implementation. In the paper we describe preliminary work on the development of ways to learn the rules and functions dynamically ...

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