An emerging approach to multi-device application development developers to build an abstract semantic model that is translated into specific implementations for web browsers, PDAs...
Yves Gaeremynck, Lawrence D. Bergman, Tessa A. Lau
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
How to adaptively choose optimal neighborhoods is very important to pixel-domain image denoising algorithms since too many neighborhoods may cause over-smooth artifacts and too fe...
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Both software applications and their development environment are becoming more and more distributed. This trend impacts not only the way software computes, but also how it looks. T...