A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
This paper advances new methods for ecosystemic approaches to evolutionary music and art. We explore the biological concept of the niche and its role in evolutionary dynamics, appl...
Recent advances in computer technology and graphics have made it possible to produce powerful visualizations of scientific phenomena and more information. There is currently much e...
Nowadays, the rapid advances in wireless communications, positioning techniques and mobile devices enable location based service such as dynamic traffic navigation. Yet, it is a ch...
Yun Bai, Yanyan Guo, Xiaofeng Meng, Tao Wan, Karin...