This paper describes a novel architecture for a casebased reasoning (CBR) system. Unlike other agent CBR systems in this architecture every case is an autonomous agent with its ow...
Abstract— Conversational Case-Based-Reasoning (CCBR) provides a mixed-initiative dialog for guiding users to construct their problem description incrementally through a question-...
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
The explanation of the results is a key point of automatic problem solvers. CBR systems solve a new problem by assessing its similarity with already solved cases and they commonly ...
Case-based reasoning systems need to know the limitations of their expertise. Having found the known source cases most relevant to a target problem, they must assess whether those ...