This paper investigates incremental multiagent learning in static or evolving structured networks. Learning examples are incrementally distributed among the agents, and the object...
Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry...
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
The importance of early performance assessment grows as software systems increase in terms of size, logical distribution and interaction complexity. Lack of time from the side of ...
Multi Agent Based Simulation (MABS) has been used mostly in purely social contexts. However, compared to other approaches, e.g., traditional discrete event simulation, object-orien...
The growing needs in computational power to answer to the increasing number of on-line services and the complexity of applications makes it mandatory to build corresponding hardwar...