Learn More
C ase-based reasoning is most useful in areas lacking a strong theoretical domain model, such as economics, medicine, and law. To be effective in some domains, however, CBR systems must use expert knowledge to determine feature importance when selecting cases that match the current problem. Relying on domain knowledge can be a problem when applying CBR to(More)
In this paper we present a mechanism to improve the solution quality of an existing heuristic based general assignment problem solver by adjusting the heuristic. The heuristic is tweaked using a set of parameters suggested by a genetic algorithm. The genetic algorithm is applied in a way that reduces the amount of involvement required to understand the(More)
Introduction We are engaged in developing a range of Virtual Environments for Education spanning a variety of disciplines, from Earth Science to Anthropology, and from Business to Biology. All of these projects share a strategy, a set of assumptions, an approach to assessment, and an emerging tool set, which allows each to leverage from the insights and(More)
In this paper we investigate the network and storage requirements of a virtual classroom. The virtual classroom replaces traditional class methodologies by using the computer as the sole instrument for all class activity. The instructor and the students each have a networked workstation in an X cluster that provides for the creation, modification, and(More)