Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
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...
During the last few years, continuous progresses in wireless communications have opened new research fields in computer networking, aimed at extending data networks connectivity ...
We describe a flexible approach to automated reasoning, where non-theorems can be automatically altered to produce proved results which are related to the original. This is achieve...
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...