EGO：再帰的・自己言及的な汎用人工知能の認知アーキテクチャ
EGO: a Recursive and Self-Referential Cognitive Architecture for Artificial General Intelligence
自己言及性と自己組織化に基づくソフトウェアアーキテクチャEGOを提案し、オートポイエーシスと身体性認知の原理からAGIを捉え直す。
著者: Alberto Mangiante, Paolo Totaro, Domenico Ninno
分類: cs.NE, cs.RO
原文アブストラクト
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.