Integrating Multi-Agent Systems: A Case Study
Francisco Maturana, Raymond J. Staron, Fred M. Discenzo, Kenwood H. Hall, Pavel Tichý, Petr Šlechta, Vladimı́r Mařı́k, David H. Scheidt, Michael J. Pekala, John Bracy · Kluwer Academic Publishers eBooks · 2006
Intelligent Agent technology provides an appropriate framework to integrate knowledge with efficient production actions in distributed organizations. Integration of knowledge depends on balanced information representation within and across heterogeneous organizations. Integrating information within a specific environment can be helped by the deployment of standards and common practices. However, it is harder to attempt such a smooth integration with the information of foreign organizations. It is the challenge of this paper to present an architecture that provides a first step towards successful integration of separate multi-agent systems in a real life control domain. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.