This case study demonstrates how the synthesis and the analysis of minimal recurrent neural robot control provide insights into the exploration of embodiment. By using structural e...
Abstract. Long Short-Term Memory (LSTM) recurrent neural networks (RNNs) are local in space and time and closely related to a biological model of memory in the prefrontal cortex. N...
Abstract. Nature inspired routing protocols for fixed and mobile networks are becoming an active area of research. However, analyzing their security threats and countering them hav...
Abstract. The online coach within the simulation league has become more powerful over the last few years. Therefore, new options with regard to the recognition of the opponents str...
In recent years, the Natural Language Processing scene has witnessed the steady growth of interest in connectionist modeling. The main appeal of such an approach is that one does n...