Abstract: 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 multiagent systems, which combines the power of knowledge discovery algorithms with the versatility of agents. Using this platform, we illustrate how agents, equipped with a data-driven inference engine, can be dynamically and continuously trained. We also discuss three prototype multi-agent systems developed with Agent Academy.
P. A. Mitkas, A. L. Symeonidis, D. K. Kehagias, I. N. Athanasiadis, Application of data mining and intelligent agent technologies to concurrent engineering, International Journal of Product Lifecycle Management, 2:173-186, 2007, doi:10.1504/IJPLM.2007.014278.