TY - GEN
T1 - Some limitations of feature-based recognition in case-based design
AU - Hinrichs, Thomas R
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1995.
PY - 1995
Y1 - 1995
N2 - A crucial part of Case-Based Reasoning is retrieving cases that are similar or otherwise relevant to the problem at hand. Traditionally, this has been formulated as a problem of indexing and accessing cases based on sets of predictive features. More generally, however, we can think of retrieval as a problem of recognition. In this light, several limitations of the feature-based approach become apparent. What constitutes a feature? What makes a feature predictive? And how is retrieval possible when the structure of an input is predictive, but its components are not? This paper presents an analysis of some of the limitations of featurebased recognition and describes a process that integrates structural recognition with retrieval. This structural recognition algorithm is designed to augment the retrieval capabilities of case-based reasoners by facilitating the recognition of functional design clich6s, natural laws, and sub problems for which individual features may not be predictive.
AB - A crucial part of Case-Based Reasoning is retrieving cases that are similar or otherwise relevant to the problem at hand. Traditionally, this has been formulated as a problem of indexing and accessing cases based on sets of predictive features. More generally, however, we can think of retrieval as a problem of recognition. In this light, several limitations of the feature-based approach become apparent. What constitutes a feature? What makes a feature predictive? And how is retrieval possible when the structure of an input is predictive, but its components are not? This paper presents an analysis of some of the limitations of featurebased recognition and describes a process that integrates structural recognition with retrieval. This structural recognition algorithm is designed to augment the retrieval capabilities of case-based reasoners by facilitating the recognition of functional design clich6s, natural laws, and sub problems for which individual features may not be predictive.
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U2 - 10.1007/3-540-60598-3_43
DO - 10.1007/3-540-60598-3_43
M3 - Conference contribution
AN - SCOPUS:33244489296
SN - 3540605983
SN - 9783540605980
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 471
EP - 480
BT - Case-Based Reasoning Research and Development - 1st International Conference, ICCBR-1995, Proceedings
A2 - Veloso, Manuela
A2 - Aamodt, Agnar
PB - Springer Verlag
T2 - 1st International Conference on Case-Based Reasoning, ICCBR 1995
Y2 - 23 October 1995 through 26 October 1995
ER -