In this paper we propose a large case-based reasoner for the legal domain. Analyzing legal texts for indexing purposes makes the implementation of large case bases a complex task. ...
Rosina Weber-Lee, Ricardo Miranda Barcia, Marcio C...
Planning by analogical reasoning is a learning method that consists of the storage, retrieval, and replay of planning episodes. Planning performance improves with the accumulationa...
This paper describes the dual use of a case base for diagnosis and for improving the design of a manufacturing process. In the short term, the case base is used to provide past ex...
Chris J. Price, Ian S. Pegler, M. B. Ratcliffe, A....
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
Realistic and complex planning situations require a mixed-initiative planning framework in which human and automated planners interact to mutually construct a desired plan. Ideally...