Publication

Software Publication: Ferraz, V. & Pitz, T. (2022). Simulating Economic Learning in Dynamic Strategic Scenarios with a Genetic Algorithm (Version 1.0.0). CoMSES Computational Model Library

Bartsch, K., Kayar, D., Pitz, T., Schreckenberg, M., & Sickmann, J. (2022). Autonom fahrende Elektrokleinbusse in Fußgängerzonen. In Transforming Mobility–What Next? Technische und betriebswirtschaftliche Aspekte (pp. 289-301). Wiesbaden: Springer Fachmedien Wiesbaden.

Goldbach, C., Sickmann, J., Pitz, T., & Zimasa, T. (2022). Towards autonomous public transportation: Attitudes and intentions of the local population. Transportation Research Interdisciplinary Perspectives, 13, 100504. https://doi.org/10.1016/j.trip.2021.100504

Goldbach, C., Kayar, D., Pitz, T., & Sickmann, J. (2022). Driving, Fast and Slow: An Experimental Investigation of Speed Choice and Information. SAGE Open, 12(2), 21582440221091708.

Ferraz, V., & Pitz, T. (2022). Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm. Computational Economics, 1-39.

DOI: 10.3389/fncom.2022.939202

DOI: 10.1007/978-3-030-85099-9_6 Abstract This paper investigates the effects of the training process on the classification accuracy for a steady-state motion visual evoked potentials (SSMVEP)-based brain-computer interface (BCI) paradigm. An SSMVEP-based BCI works similar to SSVEP with the main difference that the stimulus is smoothly changing its appearance, with a continuous motion, leading to less user fatigue. Typical SSMVEP classification utilises correlation algorithms to compare the incoming Electroencephalography (EEG) data with a sine-cosine template.

Ferraz, V. & Pitz, T. (2022). Simulating Economic Learning in Dynamic Strategic Scenarios with a Genetic Algorithm (Version 1.0.0). CoMSES Computational Model Library

Bartsch, K., Kayar, D., Pitz, T., Schreckenberg, M., & Sickmann, J. (2022). Autonom fahrende Elektrokleinbusse in Fußgängerzonen. In Transforming Mobility–What Next? Technische und betriebswirtschaftliche Aspekte (pp. 289-301). Wiesbaden: Springer Fachmedien Wiesbaden.

Goldbach, C., Sickmann, J., Pitz, T., & Zimasa, T. (2022). Towards autonomous public transportation: Attitudes and intentions of the local population. Transportation Research Interdisciplinary Perspectives, 13, 100504. https://doi.org/10.1016/j.trip.2021.100504

Goldbach, C., Kayar, D., Pitz, T., & Sickmann, J. (2022). Driving, Fast and Slow: An Experimental Investigation of Speed Choice and Information. SAGE Open, 12(2), 21582440221091708.

Ferraz, V., & Pitz, T. (2022). Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm. Computational Economics, 1-39.

Minguillon, J., Volosyak, I., Guger, C., Tangermann, M., & Lopez, M. A. (2022). Brain-Computer Interfaces: Novel applications and interactive technologies. Frontiers in Computational Neuroscience, 16, 939202.

Stawicki, P., Rezeika, A., & Volosyak, I. (2021, June). Effects of Training on BCI Accuracy in SSMVEP-based BCI. In International Work-Conference on Artificial Neural Networks (pp. 69-80). Springer, Cham.

Ribeiro, P., Krause, A. F., Meesters, P., Kural, K., van Kolfschoten, J., Büchner, M. A., … & Essig, K. (2021). A VR Truck Docking Simulator Platform for Developing Personalized Driver Assistance. Applied Sciences, 11(19), 8911.

Wild-Wall, N. (2020). Kap. 6: Kompensation und erfolgreiches Altern: Neurokognitive und psychosoziale Grundlagen und die Relevanz für das Arbeitsleben. In M. Falkenstein & C. Kardys (Hrsg.): Arbeit, Kognition und Alter (84-100). Stuttgart: W. Kohlhammer GmbH.