In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Abstract— Tightly-coupled multi-agent systems such as modular robots frequently exhibit properties of interest that span multiple modules. These properties cannot easily be detec...
Michael DeRosa, Jason Campbell, Padmanabhan Pillai...
Qualitative coalitional games (QCGs) were introduced as abstract formal models of goal-oriented cooperative systems. A QCG is a game in which each agent is assumed to have some goa...
Paul E. Dunne, Wiebe van der Hoek, Michael Wooldri...
An approach to handle the complex dynamics of a multi-agent system is based on distinguishing aggregation levels by structuring the system into parts or components. The behavior of...
: This paper proposes a formal methodology for designing multi-agent systems based on stepwise refinements. The main contribution consists in providing a set of methodological prin...
Amira Regayeg, Slim Kallel, Ahmed Hadj Kacem, Moha...