Parallel changes are becoming increasingly prevalent in the development of large scale software system. To further study the relationship between parallel changes and faults, we h...
Executable models are increasingly being employed by development teams to implement robust software systems. Modern executable models offer powerful composition mechanisms that al...
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Building software systems out of pre-fabricated components is a very attractive vision. Distributed Component Platforms (DCP) and their visual development environments bring this v...