The Omnipresence of Case-Based Reasoning in Science and Application
D. Aha. Proceedings of the Seventeenth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, 11(5-6), Seite 261--273. (1998)
Zusammenfassung
A surprisingly large number of research disciplines have
contributed towards the development of knowledge on lazy problem
solving, which is characterized by its storage of ground cases
and its demand driven response to queries. Case-based reasoning
(CBR) is an alternative, increasingly popular approach for
designing expert systems that implements this approach. This
paper lists pointers to some contributions in some related
disciplines that offer insights for CBR research. We then outline
a small number of Navy applications based on this approach that
demonstrate its breadth of applicability. Finally, we list a few
successful and failed attempts to apply CBR, and list some
predictions on the future roles of CBR applications.
%0 Conference Paper
%1 Aha98
%A Aha, David W.
%B Proceedings of the Seventeenth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence
%D 1998
%K CBR
%P 261--273
%T The Omnipresence of Case-Based Reasoning in Science and Application
%V 11(5-6)
%X A surprisingly large number of research disciplines have
contributed towards the development of knowledge on lazy problem
solving, which is characterized by its storage of ground cases
and its demand driven response to queries. Case-based reasoning
(CBR) is an alternative, increasingly popular approach for
designing expert systems that implements this approach. This
paper lists pointers to some contributions in some related
disciplines that offer insights for CBR research. We then outline
a small number of Navy applications based on this approach that
demonstrate its breadth of applicability. Finally, we list a few
successful and failed attempts to apply CBR, and list some
predictions on the future roles of CBR applications.
@inproceedings{Aha98,
abstract = {A surprisingly large number of research disciplines have
contributed towards the development of knowledge on lazy problem
solving, which is characterized by its storage of ground cases
and its demand driven response to queries. Case-based reasoning
(CBR) is an alternative, increasingly popular approach for
designing expert systems that implements this approach. This
paper lists pointers to some contributions in some related
disciplines that offer insights for CBR research. We then outline
a small number of Navy applications based on this approach that
demonstrate its breadth of applicability. Finally, we list a few
successful and failed attempts to apply CBR, and list some
predictions on the future roles of CBR applications.},
added-at = {2006-11-14T09:19:23.000+0100},
author = {Aha, David W.},
biburl = {https://www.bibsonomy.org/bibtex/2b30b5978589fea39b17843cd22fa4895/thorob67},
booktitle = {Proceedings of the Seventeenth {SGES} International Conference on Knowledge Based Systems and Applied Artificial Intelligence},
date-modified = {2005-12-16 14:16:45 +0100},
interhash = {9fd5fde8a5247cbea6f0719aa2cee78c},
intrahash = {b30b5978589fea39b17843cd22fa4895},
keywords = {CBR},
pages = {261--273},
timestamp = {2006-11-14T09:19:23.000+0100},
title = {The Omnipresence of Case-Based Reasoning in Science and Application},
volume = {11(5-6)},
year = 1998
}