Developing applications for smart spaces is a challenging task. Most programming systems narrowly focus on the embedded computer infrastructure and neglect the spatial aspect of th...
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
We present a general framework for reasoning about network worms and analyzing the potency of worms within a specific network. First, we present a discussion of the life cycle of ...
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...
Parallel computers have the computing power needed to simulate biologically accurate neuronal network models. Partitioning is the process of cutting a model in pieces and assignin...