Applying dynamic data mining on multi-agent systems

Abstract:

A new perspective on analysis of large-scale Multi-Agent Dynamic Systems is presented. The aim is to capture the global trends at a glance, by the use of dynamic data mining techniques, which group agents according to similar characteristics or behavior, measuring and recording how the different trends evolve through time. This methodology is presented and an example with a simulated dynamic Multi-Agent System is included. Copyright © 2007 International Federation of Automatic Control All Rights Reserved.

Año de publicación:

2008

Keywords:

• Dynamics and control of large scale structures
• Knowledge discovery (data mining)
• Methodologies and tools for analysis of complexity

Fuente:

scopus