Publications
A selection of academic publications and research contributions spanning artificial intelligence, machine learning, symbol grounding theory, and clinical decision support systems.
Recent Publications (2020-2024)
Bertermann, D., Rammler, M., Wernsdorfer, M., & Hagenauer, H. (2024). "A Practicable Guideline for Predicting the Thermal Conductivity of Unconsolidated Soils". In: Soil Systems 8.2. ISSN: 2571-8789.
Wernsdorfer, M. (2024). Semiotic Models: Advancing HCI through Simulating Consciousness. Mensch und Computer 2024 - Workshopband.
Costa, M. B. W., Wernsdorfer, M., Kehrer, A. et al. (2021). "The Clinical Decision Support System AMPEL for Laboratory Diagnostics: Implementation and Technical Evaluation". In: JMIR Medical Informatics 9.6.
Eckelt, F., Remmler, J., Wernsdorfer, M. et al. (2020). "Improved patient safety through a clinical decision support system in laboratory medicine". In: Internist (Berl).
Core Research & Dissertation
Wernsdorfer, M. (2019). Symbol Grounding as the Generation of Mental Representations. (Dissertations in Artificial Intelligence, Vol. 346). Akademische Verlagsgesellschaft AKA GmbH.
Doctoral dissertation exploring how artificial systems can develop meaningful internal representations through interaction with their environment.
Conference Papers & Presentations
Wernsdorfer, M. (2018). "A Phenomenologically Justifiable Simulation of Mental Modeling". In: International Conference on Artificial General Intelligence. Springer, Cham.
Earlier Works (2012-2013)
Wernsdorfer, M. & Schmid, U. (2013). "From Streams of Observations to Knowledge-Level Productive Predictions". In: Human Behavior Recognition Technologies. IGI Global.
Wernsdorfer, M. (2012). "Functional Grounding of Symbolic Representations in Non-Markovian Reinforcing Environments". In: Proc. of the 35th German Conference on Artificial Intelligence.