Framework introduces a new approach for AI-expert-apps, suggesting technology-independent enhancements for better interaction and user experience.
This record contains the English paper and a German version of the same paper. The paper introduces FactLogix/FRL as a proposed template- and runtime-based framework for AI-Expert-Apps. It describes how classical expert-system concepts can be extended with fact, rule, query and response templates, knowledge spaces, controlled interaction flows, roles, auditability, versioning and platform-independent rendering. It also introduces INHQ (Interactive Natural Language HyperQueries) as the interactive navigation and query layer above FRL. The approach is intended to be technology-independent: reasoning, data storage, user interfaces and AI-assisted language processing may be implemented using different interchangeable technologies.
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Yasser Al-Biladi (2026) studied this question.
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