A binary constraints network consists of a set of n variables, defined on domains of size at most d, and a set of e binary constraints. The binary constraint satisfaction problem ...
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...
Abstract. We study the problem of maintaining a dynamic tree succinctly, in 2n + o(n) bits, under updates of the following form: insertion or deletion of a leaf, insertion of a nod...
Relations between models are important for effective automatic validation, for comparing implementations with specifications, and for increased understanding of embedded systems d...
One of the challenges for software architects is ensuring that an implemented system faithfully represents its architecture. We describe and demonstrate a tool, called DiscoTect, ...