人工智能的知识本源

王飞跃

doi:10.11959/j.issn.2096-6652.ZNKX26067

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人工智能的知识本源

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- 人工智能的知识本源
- The knowledge origin of artificial intelligence
- 智能科学与技术学报 2026年8卷第2期页码：131-148
- 作者机构：
  
  1.中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
  2.澳门科技大学创新工程学院，澳门 999078
- 作者简介：
  
  王飞跃（1961- ），男，博士，中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任，澳门科技大学特聘教授，主要研究方向为平行系统的方法与应用、社会计算、平行智能、知识自动化。
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.ZNKX26067
  中图分类号： TP39
- 收稿：2026-05-22，
  
  录用：2026-05-22，
  
  网络首发：2026-07-27，
  
  纸质出版：2026-06-15
- 稿件说明：
移动端阅览
王飞跃.人工智能的知识本源[J].智能科学与技术学报,2026,08(02):131-148.

Wang Fei-Yue.The knowledge origin of artificial intelligence[J].Chinese Journal of Intelligent Science and Technology,2026,08(02):131-148.
王飞跃.人工智能的知识本源[J].智能科学与技术学报,2026,08(02):131-148. DOI： 10.11959/j.issn.2096-6652.ZNKX26067.

Wang Fei-Yue.The knowledge origin of artificial intelligence[J].Chinese Journal of Intelligent Science and Technology,2026,08(02):131-148. DOI： 10.11959/j.issn.2096-6652.ZNKX26067.

摘要

人工智能的兴起并非单纯源于计算技术的突破，而是哲学思辨、数学逻辑与认知科学等学科长期交汇演化的结果。从知识本源的角度，系统梳理人工智能的思想根基与学科脉络。哲学层面，从东方“赋、比、兴”与西方“文法、逻辑、修辞”出发，结合本体论、平行智能以及“存在-生成-信念”的三元框架，阐释智能的层次结构、虚实共生机制与平行演化理念。数学层面，追溯3次数学基础危机对形式化、可计算性和复杂性理论的推动，展示从希尔伯特纲领、哥德尔不完备性定理、图灵机、控制论、人工神经元模型到范畴论与朗兰兹纲领的逻辑演进，揭示人工智能的数理根基。认知科学层面，围绕莱特希尔报告、人工智能寒冬、隆科-希金斯对认知科学的命名、米勒认知革命及认知科学六角形框架，说明认知科学如何为人工智能突破符号主义局限，走向深度学习、大模型与具身智能提供理论支撑。人工智能是人文思想、形式理性与认知机制共同作用的产物，对其知识本源的追溯有助于重新理解智能的边界、局限、演化路径与未来发展方向。

Abstract

The rise of artificial intelligence is not merely a consequence of advances in computing technology

but the result of a long-term convergence of philosophical reflection

mathematical logic

and cognitive science. From the perspective of knowledge origins

this paper systematically examines the intellectual foundations and disciplinary evolution of artificial intelligence. At the philosophical level

it traces early forms of intelligent activities to the Eastern tradition of "Fu

Xing" and the Western trivium of "Grammar

Logic

Rhetoric"

and further interprets intelligence through ontology

parallel intelligence

and the triadic framework of Being

Becoming

and Believing. At the mathematical level

the paper reviews the role of the three foundational crises of mathematics in promoting formalization

computability

and complexity theory

and reconstructs a logical trajectory from Hilbert's Program

Gödel's Incompleteness Theorem

the Turing Machine

Cybernetics

and McCulloch-Pitts' Model of Artificial Neurons to Category Theory and the Langlands Program. At the level of cognitive science

it discusses the Lighthill Report

the AI Winter

Longuet-Higgins's naming of cognitive science

Miller's cognitive revolution

as well as the hexagonal framework of cognitive science

showing how cognitive science helped artificial intelligence move beyond symbolic limitations toward deep learning

large models

and embodied intelligence. The paper argues that artificial intelligence is a product of the sustained interaction among humanistic thought

formal rationality

and cognitive mechanisms. Reconstructing its knowledge origins provides a fundamental framework for understanding the boundaries

limitations

evolution

and future directions of intelligence.

关键词

Keywords

references

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