An Inquiry into the Homology of AGI Research Paradigms: A Cognitive-Philosophical Perspective
Abstract
Contemporary research on Artificial General Intelligence (AGI) has fragmented into multiple competing research trajectories, each with distinct methodological commitments and technical implementations. The dominant academic discourse treats these lines of inquiry as mutually exclusive alternatives for constructing general intelligent systems. This paper argues that these seemingly conflicting paradigms are not rival solutions, but partial side-manifestations (partial bounded manifestations) of a unified intelligent ontology captured at different hierarchical cognitive layers. The fragmentation of current AGI research originates from a widespread methodological preference: engineering construction precedes ontological grounding. Drawing upon the methodology of scientific research programmes, this paper advocates an ontologically-first research stance from the perspective of philosophy of science and cognitive ontology. We analyze the inherent limits and implicit ontological presuppositions embedded within each existing AGI paradigm, contrast the “engineering-first” old framework with an “ontology-first” new framework, and discuss the implication that raw computational power alone is insufficient for the emergence of stable general cognition. This article remains at the level of methodological and philosophical analysis; no concrete algorithmic, architectural or engineering implementation details are presented.
Related
- On Populating - A Philosophical Perspective of the Fractalization of Humanity
- How the Design of Technology-Mediated Cognitive Training Paradigms Impacts Efficacy in Childhood Cancer Survivors: A Systematic Review
- Panpsychism: A Philosophical Overview Without Mathematical or Empirical Grounding — E8 Intelligence Research
- Conscious Scaffolding and the Preference for Continuity: A Philosophical Research Note on Persistent AI and Reflective Alignment
- Independent Adjudication and Philosophical Convergence: A Prospective Research Design
BibTeX
@misc{li2026inquiry,
title = {{An Inquiry into the Homology of AGI Research Paradigms: A Cognitive-Philosophical Perspective}},
author = {dongnan li},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23666186},
url = {https://zenodo.org/records/23666186},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - An Inquiry into the Homology of AGI Research Paradigms: A Cognitive-Philosophical Perspective
AU - dongnan li
PY - 2026
DA - 2026/10/26
PB - Zenodo
DO - 10.5281/zenodo.23666186
UR - https://zenodo.org/records/23666186
AB - Contemporary research on Artificial General Intelligence (AGI) has fragmented into multiple competing research trajectories, each with distinct methodological commitments and technical implementations. The dominant academic discourse treats these lines of inquiry as mutually exclusive alternatives for constructing general intelligent systems. This paper argues that these seemingly conflicting paradigms are not rival solutions, but partial side-manifestations (partial bounded manifestations) of a unified intelligent ontology captured at different hierarchical cognitive layers. The fragmentation of current AGI research originates from a widespread methodological preference: engineering construction precedes ontological grounding. Drawing upon the methodology of scientific research programmes, this paper advocates an ontologically-first research stance from the perspective of philosophy of science and cognitive ontology. We analyze the inherent limits and implicit ontological presuppositions embedded within each existing AGI paradigm, contrast the “engineering-first” old framework with an “ontology-first” new framework, and discuss the implication that raw computational power alone is insufficient for the emergence of stable general cognition. This article remains at the level of methodological and philosophical analysis; no concrete algorithmic, architectural or engineering implementation details are presented.
ER -