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Author

Waldemar Bauer

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Open access Aug 2026

DEGA: A Deterministic Diagnostic Evidence Governance Agent for Industrial IoT—A DUDU-BLDC Case Study

Industrial diagnostic systems require a governance mechanism that determines whether heterogeneous evidence is admissible, mutually consistent, and sufficient for an automatic action. This paper presents the Diagnostic Evidence Governance Agent (DEGA), a deterministic governance layer built from explicit finite-state m...

Waldemar Bauer, Kacper Jarzyna, Agnieszka Piątek et al. · 0 citations
Conference Aug 2026

Quality Score: A Behavioural Metric for Deliberation Quality in LLM-MAS Systems

Autonomous systems increasingly employ Large Language Models (LLMs) as a deliberative layer in situations where classical machine learning methods encounter out-of-distribution scenarios. The use of multiple models in a multi-agent configuration (LLM-MAS) enables mutual validation of responses and reduces the risk of e...

Ján Kapusta, Waldemar Bauer, Jerzy Baranowski · 0 citations

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