This paper reports our experience when integrating differ resources and services into a grid environment. The use case we address implies the deployment of several NLP application...
In open systems where the components, i.e. the agents and the resources, may be unknown at design time, or in dynamic and self-organizing systems evolving with time, there is a ne...
Model is a kind of codified knowledge that has been verified in solving problems. Solving a complex problem usually needs a set of models. Using components, the composition of a s...
Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
ing organizational abstractions as first-class citizens in the design process.2,3 So, a promising approach would be to combine Semantic Web services4 and agent technologies5,6 for ...