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...
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
: Manufacturing systems are changing its structure and organisation. Supply chain are evolving to more coupled organisations, like virtual enterprises, though maintaining the singl...
This paper introduces a multi-agent system (MAS) approach for modelling social behaviours in children’s play. The children, the dynamics of their play, and the playground are mo...
—This paper presents a framework supporting the definition and implementation of virtual environment inhabited by interacting situated agents defined according to the Multilayere...