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arXiv · 2507.14011

EGO: a Recursive and Self-Referential Cognitive Architecture for Artificial General Intelligence

Alberto Mangiante·Paolo Totaro·Domenico Ninno
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Abstract

Artificial General Intelligence (AGI) is interpreted as an emergent property of autonomous and self-organizing systems, grounded in the principles of autopoiesis and embodied cognition, overcoming the structural limitations of current Large Language Models (LLMs). We introduce EGO (Environment Generative Operator), a software architecture based on the formal E-language, capable of self-referentiality and of maintaining its internal organization, thereby realizing Maturana's autopoiesis and providing a bridge between artificial intelligence and biological theories of cognition. For further details, please refer to the technical document on arXiv.

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Alberto Mangiante, Paolo Totaro, Domenico Ninno. 2025-07-18. EGO: a Recursive and Self-Referential Cognitive Architecture for Artificial General Intelligence. https://arxiv.org/abs/2507.14011

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