An autonomic system is a system capable of managing itself and adjusting its actions in the face of environmental changes. Autonomic systems are currently developed using ad-hoc ap...
A virtual organization (VO) is a dynamic collection of entities (individuals, enterprises, and information resources) collaborating on some computational activity. VOs are an emer...
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
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...
We propose that the trust an agent places in another agent declaratively captures an architectural connector between the two agents. We formulate trust as a generic modality expre...