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AGI: A Linguistic Blueprint

AGI: A Linguistic Blueprint Author: Saif Allah Mathouthi Date: 26 January 2026 Linguistic–Mathematical Modeling in the Structure of Artificial General Intelligence (AGI) The Arabic Language as a Structural Model for the Regularity of Meaning This paper proceeds from the hypothesis that approaching Artificial General Intelligence (AGI) requires a language, or a linguistic representation system, endowed with internal generative regularity that enables self-validating mechanisms for meaning, rather than relying solely on the simulation of contextual usage patterns. Within this framework, the Arabic language is proposed not as a “superior” language in a value-laden or civilizational sense, but as a fully developed natural linguistic system whose structure can be studied as a reference model for analyzing the possibilities of systematic semantic modeling. First: Arabic Derivational Structure as a Generative Model The Arabic language is characterized by a root-based derivational morphology (Root-Based Morphology), in which the relationship between word form and meaning is generative and organized rather than purely arbitrary. The morphological root constitutes an abstract semantic unit from which words are derived through standardized patterns that perform specific semantic functions. From a software engineering perspective, this structure may be described as follows: The linguistic root functions as an abstract class. Morphological patterns operate as generative functions or templates. The resulting word constitutes a semantic object that carries predictable properties within a defined semantic field. This structure does not eliminate the possibility of semantic evolution or metaphorical usage; however, it imposes a minimum level of internal coherence that allows meaning to be anticipated within a regulated range. It is noteworthy that this mode of structural organization differs from purely analytic languages, which rely more heavily on cumulative contextual information to determine meaning. Second: Semantic Regularity and the Problem of “Hallucination” in Artificial Intelligence Systems The phenomenon of “hallucination” in artificial intelligence systems represents one of the most prominent applied challenges, wherein a system produces linguistically coherent outputs that nevertheless lack referential grounding or exhibit internal semantic contradiction. This phenomenon may be analyzed as the direct result of a tripartite dissociation between: the symbol, the conceived meaning (concept), and the referent. In linguistic systems where structural constraints between these levels are weak, the system lacks sufficient internal mechanisms to verify semantic coherence. In contrast, the derivational structure and morphological regularity of Arabic, in principle, enable the construction of linguistic models equipped with formal semantic validation mechanisms that reduce the likelihood of arbitrary separation between the word and the concept. Third: Atemporal Reference and the Stability of Semantic Standards Artificial General Intelligence requires the capacity to operate with concepts that transcend limited local and temporal contexts. Languages that undergo sharp semantic shifts in response to social or political change compel intelligent systems to rely continuously on external recalibration. By contrast, the Arabic language exhibits a high degree of foundational stability, manifested in several aspects, including: the long-term stability of its morphological and syntactic rules, the containment of semantic shifts without causing systemic collapse of the language as a whole, the preservation of the relationship between linguistic structure and textual attestation. This stability does not imply semantic rigidity; rather, it indicates the presence of a stable internal reference that permits the recalibration of meaning while maintaining systemic coherence. Fourth: Arabic as a Structural Model, Not an Exclusive Claim This approach does not claim that Arabic is the only natural language possessing a systematic structure, nor that its use is a sufficient or exclusive condition for achieving Artificial General Intelligence. Instead, Arabic is presented as: a maximally structured linguistic case, a fully developed natural model, a structural laboratory suitable for studying the regularity of meaning. Accordingly, its research value derives from its amenability to formal analysis and from the possibility of translating its internal structure into computational models subject to testing and evaluation, rather than from any cultural specificity or claims of linguistic superiority.