an abstract model for information sharing and integration and use it to develop an architecture for building open, component-based, interoperable systems. A geographic information ...
Developing a learner model containing an accurate representation of a learner’s knowledge is made more difficult in distributed learning environments where the learner uses mult...
Christopher A. Brooks, Mike Winter, Jim E. Greer, ...
Multi-agent systems have proven to be a powerful technology for building complex distributed applications. However, the process of designing, configuring and deploying agent-based...
Csongor Nyulas, Martin J. O'Connor, Samson W. Tu, ...
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
In this paper we present a robust software infrastructure for metacomputing. The system is intended to be used by others as a building block for large and powerful computational g...