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...
In this paper we present an agent-oriented modeling language, called MAS-ML, and an approach for mapping its diagrams into Java implementations. MAS-ML extends the UML meta-model ...
Viviane Torres da Silva, Ricardo Choren, Carlos Jo...
We present an organisation infrastructure for open MultiAgent Systems built upon a role-based access control model (RBAC), which provides agents with means to enable and control a...
In this paper, we present a multi-agent system MAGS for the e-business processes monitoring in a web-based environment. We classify the types of agents in MAGS by their monitoring...
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...