utrullebased
Utrullebased is a neologism used to describe a design and inference paradigm that blends explicit rule-based components with data-driven learning components to create adaptable, interpretable systems. In utrullebased architectures, rule engines handle tasks that benefit from verifiable logic, while learning modules provide perception and generalization.
Origin and etymology: The term appeared in online discussions in the early 2020s. It is an informal
Core concepts: Utrullebased designs emphasize modularity and explicit interfaces between rule-based and learning components. Rules offer
Characteristics and mechanisms: Systems typically include a rule repository, an inference orchestrator, and a learning module.
Applications and examples: In natural language processing, utrullebased systems may merge a grammar or lexicon with
Reception and critique: Advocates cite transparency, safety, and compliance; critics note complexity, potential rule rot, and
See also: Rule-based systems; hybrid AI; explainable AI; model governance.