This paper presents a stochastic multi-agent model of stock market. The market dynamics include switches between chartists and fundamentalists and switches in the prevailing opinio...
In this work we present the basic concepts for a dynamic plug-in-based software architecture using concepts from the Petri netbased MAS framework Mulan. By transferring the concept...
Lawrence Cabac, Michael Duvigneau, Daniel Moldt, H...
This paper proposes the use of reliable group communication as a complement to traditional asynchronous messaging in multi-agent systems. In particular, the mechanism of message p...
Multiagent learning di ers from standard machine learning in that most existing learning methods assume that all knowledge is available locally in a single agent. In multiagent sy...
The Multiagent Planning Architecture (MPA) is a framework for integrating diverse technologies into a system capable of solving complex planning problems. Agents within MPA share ...