Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
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...
The worldwide population of elderly people is growing rapidly and in the coming decades the proportion of older people in the developed countries will change significantly. This d...
maintain awareness of its environment for a long period of time. Additionally, knowledge-intensive agents must be engineered such that their knowledge can be easily updated as envi...
Background: Systems biologists work with many kinds of data, from many different sources, using a variety of software tools. Each of these tools typically excels at one type of an...
Paul T. Shannon, David J. Reiss, Richard Bonneau, ...