Advances in Case-Based Reasoning
Subtitle: 6th European Conference, ECCBR 2002 Aberdeen, Scotland, UK, September 4-7, 2002 Proceedings (Lecture Notes in Computer ... / Lecture Notes in Artificial Intelligence)
Contributors: Susan Craw (Editor); Alun Preece (Editor)
Edition: 1 edition
Publisher: Springer
Published: October 3, 2002
Language: eng
Format: Paperback
Number of pages: 656
ISBN-13: 9783540441090
Subjects: Knowledge-based systems / expert systems; Reasoning; General; Computers - General Information; Software Engineering; Expert Systems; Computers; Expert systems (Computer science); Computer Books: General; Expert systems (Computer scien; Congresses; Artificial Intelligence - General; AI Planning; CBR; Case-Based Data Mining; Case-Based Learning; Case-Based Making; Case-Based Management; Case-Based Problem Solving; Case-Based Reasoning Systems,; Computers / Artificial Intelligence; Knowledge Engineering; Case-based reasoning; Programming - Software Development
First sentence: The abundance of digital information that is available has made the organization of that information into a complex and vitally important task.
Description: 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.