This paper describes an evaluation of the two technologies Aglets from IBM Japan and JavaSpaces from Sun Microsystems used to implement the same mobile agent system. The Aglets fr...
The need for negotiation in multi-agent systems stems from the requirement for agents to solve the problems posed by their interdependence upon one another. Negotiation provides a...
Simon Parsons, Carles Sierra, Nicholas R. Jennings
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
This project focuses on the implementation of a framework for mobile agents support within a grid environment project, namely InteGrade. Our goal is to present a framework where ti...