TY - GEN
T1 - Speed-up, quality and competence in multi-modal case-based reasoning
AU - Portinale, Luigi
AU - Torasso, Pietro
AU - Tavano, Paolo
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.
PY - 1999
Y1 - 1999
N2 - 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-know utility problem, there is no general strategy for improving all these 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.
AB - 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-know utility problem, there is no general strategy for improving all these 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.
UR - http://www.scopus.com/inward/record.url?scp=84957805275&partnerID=8YFLogxK
U2 - 10.1007/3-540-48508-2_22
DO - 10.1007/3-540-48508-2_22
M3 - Conference contribution
AN - SCOPUS:84957805275
SN - 3540662375
SN - 9783540662372
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 303
EP - 317
BT - Case-Based Reasoning Research and Development - 3rd International Conference on Case-Based Reasoning, ICCBR 1999, Proceedings
A2 - Althoff, Klaus-Dieter
A2 - Branting, L. Karl
A2 - Bergmann, Ralph
PB - Springer Verlag
T2 - 3rd International Conference on Case-Based Reasoning, ICCBR 1999
Y2 - 27 July 1999 through 30 July 1999
ER -