Nowadays, workflows are applied in an increasing number of application areas to represent
and (semi-) automatically execute various kinds of processes. The modeling of workflows …

Case-Based Reasoning (CBR) uses past experiences to solve new problems. The quality of
the past experiences, which are stored as cases in a case base, is a big factor in the …

Most CBR systems in operation today are 'retrieval-only'in that they do not adapt the
solutions of retrieved cases. Adaptation is, in general, a difficult problem that often requires …

To avoid performance degradation and maintain the quality of results obtained by the case-
based reasoning (CBR) systems, maintenance becomes necessary, especially for those …

The success of diagnostic knowledge systems has been proved over the last decades.
Nowadays, intelligent systems are embedded in machines within various domains or are …

The main goal of a Case-Based Reasoning (CBR) system is to provide criteria for evaluating
the internal behavior and task efficiency of a particular system for a given initial case base …

When trying to use software agents (SAs) for real-world business and thereby putting them
in a situation to operate under real-world laws, the abstractness of human regulations often …

Planning for teaching imposes a significant burden on teachers, as teachers need to
prepare different lesson plans for different classes according to various constraints …

This paper features SEASALT, an intelligent information system architecture that follows the
example of collaborating human experts. Modularised knowledge is provided in a number of …

In this paper, we consider Case—Based Reasoning (CBR) as a complex process. In order to
perform such a complex process in a specific project, we argue that an appropriate process …