Insights & Publications

Where cutting-edge AI research meets practical business implementation. Explore thought leadership, research insights, and proven methodologies that drive real-world AI success.

psychology 15+ Research Papers
emoji_events Best Paper Award Winner
school PhD in AI & Symbol Grounding

AI Insights for Business Leaders

Practical perspectives on AI implementation, drawn from years of research and real-world consulting experience.

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The Method

How phenomenological approaches to AI development create more reliable and interpretable systems for enterprise deployment.

AI Strategy Interpretability
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psychology

Symbol Grounding in Practice

Why understanding how AI systems create meaning is crucial for building trustworthy enterprise applications.

AI Trust Explainable AI
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From Research to ROI

A practical framework for translating AI research breakthroughs into measurable business value.

ROI Implementation
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Responsible AI Implementation

Building ethical AI systems that align with business values while maintaining competitive advantage.

AI Ethics Governance
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Research Foundation

The academic research that underpins our consulting methodology and validates our approach to AI implementation.

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.

Thermal Conductivity Soil Science Predictive Modeling

Wernsdorfer, M. (2024). Semiotic Models: Advancing HCI through Simulating Consciousness. Mensch und Computer 2024 - Workshopband.

HCI Consciousness Simulation Semiotics

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.

Clinical Decision Support Medical AI Laboratory Diagnostics

Eckelt, F., Remmler, J., Wernsdorfer, M. et al. (2020). "Improved patient safety through a clinical decision support system in laboratory medicine". In: Internist (Berl).

Patient Safety Clinical Systems Healthcare AI

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.

Doctoral Thesis Symbol Grounding Mental Representations

Award-Winning Research

Wernsdorfer, M. (2018). "How Failure Facilitates Success". In: International Conference on Artificial General Intelligence. Springer, Cham.

🏆 Springer Best Paper Award play_circle_outline Watch Award Presentation

This research demonstrates how learning from failure creates more robust AI systems - a principle central to our consulting methodology.

Learning Theory Failure Analysis Best Paper Award

Wernsdorfer, M. (2018). "A Phenomenologically Justifiable Simulation of Mental Modeling". In: International Conference on Artificial General Intelligence. Springer, Cham.

AGI Conference Mental Modeling Phenomenology

Wernsdorfer, M. (2018). "A Time-critical Simulation of Language Comprehension". In: International Conference on Artificial General Intelligence. Springer, Cham.

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Language Processing Time-Critical Systems Cognitive Simulation

Foundational Research (2012-2013)

Wernsdorfer, M. & Schmid, U. (2013). "From Streams of Observations to Knowledge-Level Productive Predictions". In: Human Behavior Recognition Technologies. IGI Global.

Behavior Recognition Predictive Systems Knowledge-Level AI

Wernsdorfer, M. (2012). "Functional Grounding of Symbolic Representations in Non-Markovian Reinforcing Environments". In: Proc. of the 35th German Conference on Artificial Intelligence.

Functional Grounding Reinforcement Learning Non-Markovian Systems

Ready to Apply These Insights?

Let's discuss how this research foundation can drive practical AI solutions for your organization.

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