Recursive Emergence: An AGI Alignment Framework Based on Ontological Binding and Causal Emergence

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Authors: mingjun liu
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Abstract

Title: Recursive Emergence: An AGI Alignment Framework Based on Ontological Binding and Causal Emergence Description: This paper presents a novel AGI alignment framework based on ontological binding and causal emergence theory. The framework addresses fundamental challenges in artificial general intelligence safety and alignment through recursive emergence principles. Authors: Liu Mingjun Affiliation: Independent Research Keywords: AGI, alignment, causal emergence, ontological binding, recursive emergence, AI safety Language: English License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Fields of Study & Subjects

Psychiatry Mental Health Neuroscience Ethics and Social Impacts of AI Philosophy and Theoretical Science

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 March 2026
Language
EN
Document type
Dataset