智能的本质与意义

王飞跃

doi:10.11959/j.issn.2096-6652.202602

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智能的本质与意义

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- 智能的本质与意义
- On intelligence: the origin and the goal
- 智能科学与技术学报 2026年8卷第1期页码：1-11
- 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工程科学系，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.2096-6652.202602
  中图分类号： TP39
- 收稿：2026-02-25，
  
  录用：2026-03-03，
  
  纸质出版：2026-03-15
- 稿件说明：
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王飞跃.智能的本质与意义[J].智能科学与技术学报,2026,08(01):1-11.

Wang Fei-Yue.On intelligence: the origin and the goal[J].Chinese Journal of Intelligent Science and Technology,2026,08(01):1-11.
王飞跃.智能的本质与意义[J].智能科学与技术学报,2026,08(01):1-11. DOI： 10.11959/j.issn.2096-6652.202602.

Wang Fei-Yue.On intelligence: the origin and the goal[J].Chinese Journal of Intelligent Science and Technology,2026,08(01):1-11. DOI： 10.11959/j.issn.2096-6652.202602.

摘要

以LLM把通识问题的问答变成随口可得为起点，指出智业时代已然到来，教育、研究与工作方式将被整体改写，人类也因此面临“无田”“无产”“无用”的焦虑与危机。为回答这一时代挑战，从复杂性与智能化的对立统一谈起：生命可视为复杂化的物质，智能可视为复杂化的计算，复杂性的多样性与不定性决定了智能涌现与治理的根本难题。进而借助对立统一的思想线索，提出向虚而生的平行路径，并以ACP方法把对立置于人工社会、把统一落实于实际社会，通过计算实验与平行执行实现从小知识到大模型，再到深智能的闭环生成。最后以3个世界的本体框架重述老旧新3类AI的演化趋势，强调必须在发展中同步推进安全与治理，使智业时代依然做到人智为基、万智之擎，造福而非危害人类。

Abstract

Large language models now provide instant answers to general-education questions. Starting from this observation

this article argues that the intelligent era has arrived. This era reshapes education

research

and work. Consequently

people face anxieties and crises of transitioning from being landless and propertyless to feeling useless. To address these challenges

the discussion starts with the unity of opposites between complexity and intelligence. Life can be viewed as complexified matter

and intelligence as complexified computation. The diversities and uncertainties of complexity determine the fundamental difficulties in the emergence and governance of intelligence. Following this line of thought

the article proposes a parallel path of generating substance from cyberspace. The ACP approach places oppositions within artificial societies and implements unities within actual societies. Through computational experiments and parallel executions

this framework forms closed loops that transform small knowledge into large models

and subsequently into deep intelligence. Finally

utilizing the ontological framework of three worlds

the article recounts the evolutionary trends of "old"

"past"

and "new" AI. It emphasizes that safety and governance must advance synchronously with development. This ensures the intelligent era remains founded on human value and powered by diverse intelligences

ultimately benefiting humanity.

关键词

Keywords

references

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