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
The paper generalizes the notion of a social law, the foundation of the theory of artificial social systems developed for coordinating Multi-Agent Systems. In an artificial social...
When modelling complex interactive systems, traditional interactor-based approaches suffer from lack of expressiveness regarding the composition of the different interactors pre...
Communication in open heterogeneous multi agent systems is hampered by lack of shared ontologies. To overcome these problems, we propose a layered communication protocol which inc...
Jurriaan van Diggelen, Robbert-Jan Beun, Frank Dig...
The Rule Responder project (responder.ruleml.org) extends the Semantic Web towards a Pragmatic Web infrastructure for collaborative human-computer networks. These allow semi-autom...
Adrian Paschke, Harold Boley, Alexander Kozlenkov,...