***************************************************************** 5. CALL FOR PAPERS: Special Issue: Maintaining CBR Systems ***************************************************************** Computational Intelligence Special Issue: Maintaining Case-Based Reasoning Systems Call for Papers =========================================================== ------------- Motivation ------------- Case-based reasoning (CBR) systems rely on various "knowledge containers," such as the case-base and similarity criteria, that affect how well a system performs. Explicit or implicit changes in the reasoning environment, task focus, and user base may influence the fit of current knowledge state to task context, which can affect the quality and efficiency of reasoning results. Over time, the knowledge containers may need to be updated in order to maintain or improve performance in response to changes in task or environment. Experience with the growing number of large-scale and long-term deployed case-based reasoning systems has led to increasing recognition of the importance of maintaining existing CBR systems. Maintenance issues arise in designing and building CBR systems and support tools that monitor system state and performance to determine whether, when, and how to update CBR system knowledge in response to some performance criteria. Developing good maintenance strategies is crucial to sustaining and improving the efficiency and solution quality of CBR systems as case-bases grow and as tasks or environments change over time. This special issue will bring together work in maintaining the essential underlying knowledge of case-based reasoning systems. The focus is on issues, methods, and lessons learned from research and applications in building systems and support tools that explicitly address the maintenance aspects of CBR systems. This compilation of mature work in this area will provide a valuable resource for implementers, maintainers, and users of CBR systems. --------- Topics --------- We invite authors to submit papers on (but not limited to) the following topics: -Competence-preserving techniques for managing CBR knowledge. -Maintaining knowledge containers (case-base, similarity, adaptation, etc.). -Interactive tools to support human maintainers of CBR systems. -Measuring the competence of CBR knowledge. -Visualizing CBR knowledge. -Introspective reasoning within CBR. -Automatically building and maintaining CBR knowledge through monitoring and providing support in interactive task environments. -Case-studies of CBR knowledge maintenance in practice. ------------------ Important Dates ------------------ -Submission Deadline: May 31, 2000 -Notification of Acceptance: August 10, 2000 -Camera Ready Deadline: November 10, 2000 -Expected Publication: May, 2001 ------------------------- Submission Information ------------------------- Contributors are invited to submit full papers in compressed (gzip/zip) UNIX-printable Postscript format or in Adobe Portable Document Format (.pdf) to cbr@cs.indiana.edu. As part of a submission, each author may be called upon to review up to two other papers submitted for the special issue. Consideration for publication will be contingent on fulfillment of reviewing responsibilities. Submissions should be no longer than 15 single-spaced pages in length, including title page and references. Precise formatting requirements will be made available as soon as possible. Updates and information about the special issue will be posted on the web at: http://www.cs.indiana.edu/~davwils/ci/special-issue.html. For additional information, please contact David C. Wilson (davwils@cs.indiana.edu). ---------------- Guest Editors ---------------- David B. Leake Computer Science Department Indiana University 150 S. Woodlawn Ave. Bloomington, IN 47405 USA leake@cs.indiana.edu Barry Smyth Department of Computer Science University College Dublin Belfield, Dublin 4 Ireland barry.smyth@ucd.ie David C. Wilson Intelligent Information Laboratory 1890 Maple Avenue Evanston, IL 60201 USA davwils@cs.indiana.edu Qiang Yang School of Computing Science Simon Fraser University Burnaby BC Canada V5A 1S6 qyang@cs.sfu.ca