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 development of Multi-Agent Systems (MASs) involves special concerns, such as interaction, adaptation, autonomy, among others. Many of these concerns are overlapping, crosscut e...
As software systems become increasingly complex to build developers are turning more and more to integrating pre-built components from third party developers into their systems. T...
: Multi-Agent systems follow a highly abstract programming paradigm. of this abstraction level, behaviours of the participants are not always clearly reproducible for humans. In th...
Context-aware information systems for mobile users have to cope with a variety of requirements in order to be able to provide an added value that goes beyond simply location-based...