The Case-Based Reasoning Group

Welcome to the CBR Web Server

The Case-Based Reasoning Group is part of the Department of Computer Science at the University of Massachusetts at Amherst. You can find specific information here about our research, publications, abstracts, and personnel.

Purpose

Research in Professor Edwina Rissland's CBR Group deals with case-based reasoning (CBR), AI and Legal Reasoning, CBR and machine learning, CBR and information retrieval, and CBR and scheduling. Current research projects include projects to investigate the use of multiple case representation and indexing schemes in precedent-based CBR, the effect of high level reasoning goals on supporting CBR tasks and vice versa in a mixed paradigm blackboard-based architecture, the use of CBR for generation of retrieval strategies in the context of information retrieval, and the automatic selection of parameters for dynamic scheduling problems.

Research

• CBR-IR - a case-based information retrieval system that uses CBR-determined relevant cases to generate queries that are submitted to INQUERY.
• BankXX - the first CBR system using the framework of heuristic best-first search to guide retrieval of cases and other pertinent knowledge for adversarial argument
• FRANK - a blackboard-based architecture to create diagnostic reports tailored to the user's prescribed goals and specified report type
• OFF-BROADWAY - a case retrieval and classification system that learns a set of distinguished cases (actual prototypes) that have demonstrated classification power
• BROADWAY - a CBR system whose retrieval is relative to the type of case.
• CABOT - a project in case-based search that developed an inductive learning algorithm that adjusts its retrieval and adaptation mechanisms
• CABARET/ID5 - a CBR/ML project that investigated the selection of training instances using characterizations of cases (e.g., most on-point, trumping, best) employed in our other CBR systems
• CABARET - the first mixed paradigm (CBR-RBR) hybrid
• HYPO - the first precedent-based CBR system