A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that ...
Due to the non-stationary environment, learning in multi-agent systems is a challenging problem. This paper first introduces a new gradient-based learning algorithm, augmenting th...
The distributed nature of peer-to-peer networks offers a solid ground for the deployment of environments where multiple agents, managing several resources, can cooperate in pursuin...
Abstract. In the last years, social and organizational aspects of agency have become a major issue in multi-agent systems’ research. Recent applications of MAS enforce the need o...
Multi-Agent Systems (MAS) architectures are gaining popularity for building open, distributed, and evolving software required by systems such as information integration application...