This paper presents a novel approach to compositional adaptation of workflows, thus addressing the adaptation step in processoriented case-based reasoning. Unlike previous approaches to adaptation, the proposed approach does not require additional adaptation knowledge. Instead, the available case base of workflows is analyzed and each case is decomposed into meaningful subcomponents, called wor...

Argumentation for Case-Based Reasoning Kristijonas Čyras Imperial College London London, UK Ken Satoh National Institute of Informatics Tokyo, Japan Francesca Toni Imperial College London London, UK

Academic capacity planning is a knowledge-intensive process that has to be based upon predicted course demand. Planners have to take into account students' current course achievements, prospective future course selections, time constraints as well as a wide range of different rules for graduation. The research project proposes a refined case-based reasoning (CBR) approach for anticipating stude...

ICCBR 2007, the Seventh International Conference on Case-Based Reasoning, was held in the joyful city of Belfast, Northern Ireland, UK. Our host in Belfast was David Patterson from the University of Ulster. The 2007 program attempted to open the field’s frontiers by inviting speakers from neighboring areas and insiders who could expand the vision of the attending case-based reasoning (CBR) rese...

The design task is especially appropriate for applying, integrating, exploring and pushing the boundaries of case-based reasoning. In this paper, we briefly review the challenges that design poses for case-based reasoning and survey research on case-based design ranging from early explorations to more recent work on innovative design. We also summarize the theoretical contributions this researc...

Case-based reasoning (CBR) models the process of reasoning from specific experiences acquired by an agent, and contained in the agent’s case-base. When multiple agents acquire cases, opportunities arise for sharing their case-bases, with accompanying issues for how to apply others’ experiences effectively. This paper examines issues for multi-casebase reasoning (MCBR), the reasoning process nee...

Maintaining compact and competent case bases has become a main topic of Case Based Reasoning (CBR) research. The main goal is to obtain a compact case base (with a reduced number of cases) without losing accuracy. In this work we present JUST, a technique to reduce the size of a case base while maintaining the classification accuracy of the CBR system. JUST uses justifications in order to selec...