Multi-agent simulations aim at representing the dynamics of complex systems as resulting from multiple interactions between autonomous entities including their own perception of lo...
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. Cooperative, autonomous and distributed properties of multiagent systems deduce the dynamic capabilities of multi-agent system applications. On the other hand, these suit...
Ibrahim Cakirlar, Erdem Eser Ekinci, Oguz Dikenell...
Training systems with intelligent virtual agents provide an effective means to train people for complex, dynamic tasks like crisis management or firefighting. Virtual agents pro...
Maaike Harbers, Karel van den Bosch, John-Jules Ch...
In this paper, we consider a multi-agent system consisting of mobile agents with second-order dynamics. The communication network is determined by a standard interaction rule based...