Creating robust real-time embedded software is critical in combining the physical world with computing, such as in consumer electronics or robotics. One challenge is the complexit...
Johannes Helander, Risto Serg, Margus Veanes, Prit...
Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...