Application of data mining and intelligent agent technologies to concurrent engineering
Software agent technology has matured enough to produce intelligent agents, which can be used to control a large number of concurrent engineering tasks. Multi-agent systems are communities of agents that exchange information and data in the form of messages. The agents’ intelligence can range from rudimentary sensor monitoring and data reporting to more advanced forms of decision making and autonomous behavior. The behavior and intelligence of each agent in the community can be obtained by performing data mining on available application data and the respected knowledge domain. We have developed Agent Academy, a software platform for the design, creation, and deployment of multi-agent systems, which combines the power of knowledge discovery algorithms with the versatility of agents. Using this platform, we show how agents, equipped with a data-driven inference engine, can be dynamically and continuously trained. We also discuss a few prototype multi-agent systems developed with Agent Academy.
P. A. Mitkas, A. L. Symeonidis, D. D. Kehagias, I. N. Athanasiadis, Application of data mining and intelligent agent technologies to concurrent engineering, Concurrent Engineering: The Vision for the Future Generation in Research and Applications, vol. 1, pg. 11-18, 2003, Balkema Publishers.
You might also enjoy (View all publications)
- Storing, combining and analysing turkey experimental data in the Big Data era
- Enabling reusability of plant phenomic datasets with MIAPPE 1.1
- Defining and classifying infrastructural contestation: Towards a synergy between anthropology and data science