The COTESYS cluster of excellence1 investigates cognition for technical systems such as vehicles, robots, and factories. Cognitive technical systems (CTS) are information processi...
Abstract Intelligent calendar assistants have many years ago attracted researchers from the areas of scheduling, machine learning and human computer interaction. However, all effor...
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
In numerous application areas fast growing data sets develop with ever higher complexity and dynamics. A central challenge is to filter the substantial information and to communic...
Daniel A. Keim, Florian Mansmann, Daniela Oelke, H...
We apply evolutionary algorithm (EA) to the design of controller for adaptive robots. EAs can be successful for more complicated tasks, where traditional engineering methods strugg...