The paradigm of mobile agents offers a powerful and flexible ity to develop distributed applications on a high-level of abstraction. One of the most interesting tasks for mobile ag...
Hartmut Vogler, Marie-Luise Moschgath, Thomas Kunk...
on models are abstract representations of systems one wants to study through computer simulation. In multiagent based simulation, such models usually represent agents and their re...
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
This paper is concerned with the problem of obtaining predictable interactions between groups of agents in open environments when individual agents do not expose their bdi logic. ...
Nardine Osman, David Robertson, Christopher Walton
The computer systems for the decision-making must provide in a synthetic and simple way the necessary elements to the decisionmaker. That is why, it is indispensable to build Compu...