Software Agents

TL;DR: This paper experiments with an agent-based system designed to support decisions in chemical process industry, which provides an environment to coordinate manufacturing and integrate rules, optimization and simulation models.

TL;DR: A concept of Collaborative Computational Intelligence (CI), and collaborative fuzzy models, in particular, and a concept of experience-consistent fuzzy system identification are introduced showing how fuzzy models built on a basis of limited data can benefit from taking advantage of the past experience conveyed in the form of previously constructed fuzzy models.

TL;DR: The primary implementation frameworks that provide the core capabilities of Sol are introduced: the Luna Software Agent Framework, the VIA Cross-Layer Communications Substrate, and the KAoS Policy Services Framework, and it is shown how policy-governed agents can perform much of the tedious high-tempo tasks of analysts and facilitate collaboration.

TL;DR: This research helps to bridge the gap between the MDA and ontology engineering by providing a technique based on the familiar RDF language for defining transformations between other types of model, between different ontology modelling languages, or to modify ontologies without changing the language.