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...
Multi-agent systems are viewed as consisting of individual agents whose behaviors are regulated by organization artifacts. This abstract presents a programming language, which is d...
This paper deals with the definition of a strong authentication model, coupling usual password/PIN based methods with a biometric matching, over a Multi Agent distributed infrastru...
An agent-based tool for micro-level simulation of transport chains (TAPAS) is described. It is more powerful than traditional approaches as it is able to capture the interactions ...
Paul Davidsson, Johan Holmgren, Jan A. Persson, Li...