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
Agent-based computing in Arti cial Intelligence has given rise to a number of diverse and competing proposals for agent programming languages. Agents, in the sense we are using it...
Koen V. Hindriks, Frank S. de Boer, Wiebe van der ...
Simulation-based training is increasingly being used within the military to practice and develop the skills of successful soldiers. For the skills associated with successful milit...
Andrew Gordon, Michael van Lent, Martin Van Velsen...
Deception is utilized by a variety of intelligent systems ranging from insects to human beings. It has been argued that the use of deception is an indicator of theory of mind [2] ...
We develop a normative theory of interaction-negotiation in particular--among self-interested computationally limited agents where computational actions are game-theoretically tre...