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 ...
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
In this paper we introduce the notion of character's values to mediate between agents and story direction in storytelling systems. By relating characters' goals with the...
This paper presents SAgent, a general-purpose mobile agent security framework that is designed to protect the computations of mobile agent applications in potentially hostile envi...
Intentional agent systems are increasingly being used in a wide range of complex applications. Capabilities has recently been introduced into some of these systems as a software en...