Speed-Up, Quality and Competence in Multi-Modal Case-Based Reasoning
Case-Based Reasoning Research and Development: Proceedings of the Third International Conference on Case-Based Reasoning, ICCBR'99, Seeon Monastery, Germany, стр. 303--317. Berlin, Springer-Verlag, (1999)Аннотация
The paper discusses the different aspects concerning performance
arising in multi-modal systems combining Case-Based Reasoning
and Model-Based Reasoning for diagnostic problem solving. In
particular, we examine the relation among speed-up of problems
solving, competence of the system and quality of produced
solutions. Because of the well-known utility problem, there is
no general strategy for improving all theses parameters at the
same time, so the trade-off among such parameters must be
carefully analyzed. We have developed a case memory management
strategy which allows the interleaving of learning of new cases
with forgetting phases, where useless and potentially dangerous
cases are identified and removed. This strategy, combined with a
suitable tuning on the precision required for the retrieval of
cases (in terms of estimated adaptation cost), provides an
effective mechanism for taking under control the utility problem.
Experimental analysis performed on a real-world domain shows in
fact that improvements over both speed-up and competence can be
obtained, without compromising in a significant way the quality
of solutions.
