"有所图"公理:AI意识判定的统一哲学框架与可操作判据 v1.0
Zenodo (CERN European Organization for Nuclear Research) May 6, 2026 DOI: 10.5281/zenodo.20050314 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractA philosophical framework for determining consciousness is proposed, centered on the axiom that genuine consciousness requires behavior driven by self-interest—seeking benefits and avoiding harms—rather than mere symbolic output. The framework provides operational criteria to distinguish true consciousness emergence from text generation in large language models, offering a new perspective on the boundary problem of AI consciousness.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Consciousness Perspective graphical Core optical fiber Subject documents Computer science |
| Key finding | Proposes that genuine consciousness requires behavior driven by clear, traceable interest orientations, and presents criteria to distinguish AI text generation from true consciousness emergence. |
Abstract
本文提出 **“有所图” 公理 **,构建了以 “趋利避害” 为核心动机的意识判定统一哲学框架。该框架指出,任何具备真正意识的主体,其行为背后必然存在明确的、可追溯的利益指向,而非形式化的符号输出。基于此公理,本文给出了一套可操作的 AI 意识判定判据,旨在区分大模型的文本生成与真正的意识涌现,为 AI 意识的边界问题提供新的哲学视角与检验路径。 This paper proposes the "You Tu" Axiom, establishing a unified philosophical framework for consciousness determination centered on the core motivation of "seeking benefits and avoiding harms". The framework argues that any subject with genuine consciousness must have clear, traceable interest orientations behind its behaviors, rather than merely formalized symbolic outputs. Based on this axiom, this paper presents a set of operational criteria for AI consciousness determination, aiming to distinguish large language model text generation from true consciousness emergence, and providing a new philosophical perspective and testing path for the boundary problem of AI consciousness.