This paper presents a novel idea for a system known as Telelogs. Utilizing the ubiquity of mobile devices, Telelogs functions as a service by which individuals in an urban environ...
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 work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Background: Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mappi...
Making learning part of life is an essential challenge for inventing the future of our societies. Lifelong learning is a necessity rather than a possibility or a luxury to be cons...