Download From: AAAI Technical Report S-9 -0 . Compilation copyright © 199

From: AAAI Technical Report WS-94-01. Compilation copyright © 1994, AAAI (www.aaai.org). All rights reserved.
Preface
The AAAI-94 Workshop on Case-Based Reasoning (CBR) was held in conjunction with the
Twelfth National Conference on Artificial Intelligence in Seattle, Washington, on August 1 and 2,
1994, under the sponsorship of the AmericanAssociation for Artificial Intelligence (AAAI).
This workshopfocussed on evaluation, broadly defined to include empirical evaluations of alternative components in CBRsystems, empirical comparisons involving CBRsystems, formal comparisons with other approaches, and discussions on feedback from users of relevant fielded systems.
Although several previous workshops on case-based reasoning have been sponsored by the Advanced
Research Projects Agency, AAAI(both in workshops and symposiums), and the European CBR
community,this is the first one that focussed primarily on evaluation. Our motivation for holding this workshop was arose from the observation that the case-based reasoning communityhad
attained a critical level of maturity. Previous CBRworkshopsencouraged discussions on fundamental issues and theoretical proposals of new CBRapproaches, but did not emphasizetheir evaluation.
This workshopspecifically encouraged contributions that described such evaluations. Webelieve a
balanced approach encouraging both innovative proposals and evaluations of existing approaches
will better serve the CBRcommunitythan can either alone.
The papers presented at this workshop well represent the focus we encouraged. Of the 43
submissions, 33 that best represented topics concerning evaluation were selected for presentation.
Timeconstraints did not allow for all of these papers to be presented sequentially. Therefore, some
were presented in poster presentation format. Wewere delighted that Katia Sycara, Hiroake Kitano,
John Lemmer,and Trung Nguyencontributed invited talks at the workshop.
The organizing and reviewing committee consisted of David W. Aha, Naval Research Laboratory; Christopher G. Atkeson, Georgia Institute of Technology; Ray Bareiss, The Institute for
the Learning Sciences, Northwestern University; L. Karl Branting, University of Wyoming;Patrick
Harrison, Naval Research Laboratory; Ashwin Ram, Georgia Institute of Technology; Evangelos
Simoudis, Lockheed AI Center; and Manuela Veloso, Carnegie Mellon University.
This workshop was made possible by AAAI,which provided logistic and financial support, and
scheduled all local arrangements. Sally McLaughlinof AAAIand Mike Hamilton of the AAAIPress
were extremely helpful in arranging this workshopand the publication of its papers. This volume
was edited by the workshop chair, David W. Aha.
iv