Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Traders in electronic marketplaces may behave dishonestly, cheating other agents. A multitude of trust and reputation systems have been proposed to try to cope with the problem of...
We introduce and investigate a natural extension of Dung’s well-known model of argument systems in which attacks are associated with a weight, indicating the relative strength o...
Paul E. Dunne, Anthony Hunter, Peter McBurney, Sim...
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
This paper describes Aerogility - an intelligent decision support system for managing service-based aftermarkets. Aerogility uses multi-agent software technology to implement a dy...
Viet Dung Dang, Steve Osborn, Gary Vickers, Malcol...