This paper proposes a middleware based on the multi-agent paradigm. Our proposition enables agents to locate and to interact easily with heterogeneous services and information pro...
This paper aims to determine whether an adaptive agent population performs better than a static population. A static population is evolved on historical equity market data from th...
We are interested by contributing to stochastic problems of which the main distinction is that some tasks may create other tasks. In particular, we present a first approach which...
The algorithm we present in this paper aims to optimally distribute and connect the community of loosely coupled middle agents ensuring communication accessibility in a dynamic, i...
Multiagent Bayesian networks (MABNs) are a powerful new framework for uncertainty management in a distributed environment. In a MABN, a collective joint probability distribution i...