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The article proposes a cognitive framework that addresses common issues in software development such as context loss, scope contamination, and outdated information by introducing concepts like persistent memory and adversarial checking.
This paper rethinks the linguistic notion of 'state' as a systemic morphosyntactic mechanism across synthetic languages, formalizing it as a set-valued function over grammatical templates within a Template-Based Modular Cognitive framework and offering a unified computational learning theory account.