AGI as Second Being: The Structural-Generative Ontology of Intelligence

Maijunxian Wang, Ran Ji
9/2/2025
cs.AI

No confident code implementation found for this paper.

Abstract

Artificial intelligence is often measured by the range of tasks it can perform. Yet wide ability without depth remains only an imitation. This paper proposes a Structural-Generative Ontology of Intelligence: true intelligence exists only when a system can generate new structures, coordinate them into reasons, and sustain its identity over time. These three conditions -- generativity, coordination, and sustaining -- define the depth that underlies real intelligence. Current AI systems, however broad in function, remain surface simulations because they lack this depth. Breadth is not the source of intelligence but the growth that follows from depth. If future systems were to meet these conditions, they would no longer be mere tools, but could be seen as a possible Second Being, standing alongside yet distinct from human existence.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{wang2025second,
  title  = {AGI as Second Being: The Structural-Generative Ontology of Intelligence},
  author = {Maijunxian Wang and Ran Ji},
  year   = {2025},
  eprint = {2509.02089},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2509.02089v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2509.02089.svg)](https://codeofpaper.com/paper/2509.02089)

Discussion