The papers collected in this volume were presented at the 6th European C- ference on Case-Based
Reasoning (ECCBR 2002) held at The Robert Gordon University in Aberdeen UK. This conference
followed a series of very succe- ful well-established biennial European workshops held in
Trento Italy (2000) Dublin Ireland (1998) Lausanne Switzerland (1996) and Paris France
(1994) after the initial workshop in Kaiserslautern Germany (1993). These meetings have a
history of attracting ?rst-class European and international researchers and practitioners in
the years interleaving with the biennial international co- terpart ICCBR the 4th ICCBR
Conference was held in Vancouver Canada in 2001. Proceedings of ECCBR and ICCBR conferences
are traditionally published by Springer-Verlag in their LNAI series. Case-Based Reasoning (CBR)
is an AI problem-solving approach where pr- lems are solved by retrieving and reusing solutions
from similar previously solved problems and possibly revising the retrieved solution to
re?ect di?erences - tween the new and retrieved problems. Case knowledge stores the previously
solved problems and is the main knowledge source of a CBR system. A main focus of CBR research
is the representation acquisition and maintenance of case knowledge. Recently other knowledge
sources have been recognized as important: indexing similarity and adaptation knowledge.
Signi?cant knowledge engine- ing e?ort may be needed for these and so the representation
acquisition and maintenance of CBR knowledge more generally have become important.
