The complexity of engineers tasks leads us to provide means to bring the Adaptive Multi-Agent Systems (AMAS) design to a higher stage of automation and confidence thanks to Model D...
Sylvain Rougemaille, Jean-Paul Arcangeli, Marie Pi...
Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
The growing use of agent systems and the widespread penetration of the Internet has opened up new possibilities for scientific collaboration. We have been investigating the role ...
We study the problem of fairly dividing a set of goods amongst a group of agents, when those agents have preferences that are ordinal relations over alternative bundles of goods (r...
Abstract. In complex multi agent systems, the agents may be heterogeneous and possibly designed by different programmers. Thus, the importance of defining a standard framework for ...