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