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
In multiagent systems ontologies are essential because they facilitate tasks like communications and reasoning. In this paper, inspired by studies in cognitive psychology, we pres...
In this demo, we present GENIUS, a tool that facilitates research in the area of bilateral multi-issue negotiation. It implements an open architecture allowing easy development an...
Koen V. Hindriks, Catholijn M. Jonker, Sarit Kraus...
The emerging standards for the specification of Web Services support the publication of the static interfaces of the operations they may execute. However, little attention is paid...
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...