Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9057
Title: Utility-based approach to learning in a mixed case-based and model-based reasoning architecture
Authors: van Someren, M
Surma, J
Torasso, P
Issue Date: 1997
Publisher: SPRINGER-VERLAG BERLIN
Source: Leake, DB. & Plaza, E. (Ed.) CASE-BASED REASONING RESEARCH AND DEVELOPMENT. p. 477-488.
Series/Report: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Abstract: Case-based reasoning (CBR) can be used as a form of "caching" solved problems to speedup later problem solving. Using "cached" cases brings additional costs with it due to retrieval time, case adaptation time and also storage space. Simply storing all cases will result in a situation in which retrieving and trying to adapt old cases will take more time (on average) than not caching at all. This means that caching must be applied selectively to build a case memory that is actually useful. This is a form of the utility problem [4, 2]. The approach taken here is to con struct a "cost model" of a system that can be used to predict the effect of changes to the system. In this paper we describe the utility problem associated with "caching" cases and the construction of a "cost model". We present experimental results that demonstrate that the model can be used to predict the effect of certain changes to the case memory.
Notes: Univ Amsterdam, NL-1018 WB Amsterdam, Netherlands. Limburgs Univ Ctr, B-3590 Diepenbeek, Belgium. Univ Turin, Dipartimento Informat, I-10149 Turin, Italy.
Document URI: http://hdl.handle.net/1942/9057
ISI #: 000073947800045
Type: Proceedings Paper
Validations: ecoom 1999
Appears in Collections:Non-affiliated authors

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