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ESTEEM: Case-based Reasoning Shell
| Users |
Developers of case-based reasoning systems |
| Need |
Case-based reasoning (CBR) is an artificial
intelligence technology that encodes problem-solving expertise
as a database of cases, where each case encodes a solution to
a previously-encountered problem. A CBR system solves
new problems by searching this database to retrieve the case
with the most similar problem description. Then, the system
adapts the solution contained within this case in order to address
characteristics of the current problem that differ from the
problem in the retrieved case. As an enabling technology
for intelligent decision-support systems, CBR has several advantages.
First, the expertise of the system can be extended to increase
the set of situations it can handle by adding new cases to the
case base, within minimal and predictable interactions with
previously-entered cases. Also, representing expertise
as cases simplifies knowledge acquisition because subject matter
experts usually find it easier to recall and discuss specific
or prototypical situations and their solution, compared to articulating
general or abstract principles and reasoning strategies. |
| Solution |
Stottler Henke developed ESTEEM, a case-based
reasoning (CBR) development tool that enables non-programmers
to build decision-support and problem-solving applications which
employ case-based reasoning. ESTEEM provides general purpose
case definition facilities, a wide range of case similarity
and retrieval options, techniques for incorporating rule-based
inference for retrieval and case manipulation, support for nested
case-bases, and specification of end-user functionality. |
| Status |
ESTEEM was marketed by Esteem Software Incorporated from 1991 to 2001.
Applying
Case-Based Reasoning describes ESTEEM as being "a good tool
for people interested in exploring the potential of CBR within
their organizations."
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Additional
information |
ESTEEM: Enabling Solutions Through Experience
Modeling 
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