We present a supply-chain management system that supports transportation of cargo containers and monitors the quality of control during transport. Our system primarily focuses on ...
Klaas Thoelen, Sam Michiels, Wouter Joosen, Koen V...
BDI (Belief, Desire, Intention) agent systems are very powerful, but they lack the ability to incorporate planning. There has been some previous work to incorporate planning withi...
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...