On intelligence: the origin and the goal

Wang Fei-Yue

doi:10.11959/j.issn.2096-6652.202602

Chinese

您当前的位置：

首页 >

文章列表页 >

On intelligence: the origin and the goal

Review Intelligence | 更新时间：2026-04-27

- On intelligence: the origin and the goal
- Chinese Journal of Intelligent Science and Technology Vol. 8, Issue 1, Pages: 1-11(2026)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.202602
  CLC： TP39
- Received：25 February 2026，
  
  Accepted：03 March 2026，
  
  Published：15 March 2026
- 稿件说明：
移动端阅览
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

Maturana H R, Guiloff G D. The quest for the intelligence of intelligence[J]. Journal of Social and Biological Structures, 1980, 3(2): 135-148.

Seth A K. Consciousness: the last 50 years (and the next)[J]. Brain and Neuroscience Advances, 2018, 2: 2398212818816019.

Heylighen F. A contemporary interpretation of Teilhard's law of complexity-consciousness[J]. Religion, Brain & Behavior, 2023, 13(4): 470-472.

Teilhard de Chardin P. The future of man[M]. New York: Harper & Row, 1964.

Teilhard de Chardin P. The phenomenon of man[M]. New York: Harper & Brothers, 1959.

LeCun Y, Bengio Y, Hinton G. Deep learning[J]. Nature, 2015, 521(7553): 436-444.

Silver D, Huang A, Maddison C J, et al. Mastering the game of Go with deep neural networks and tree search[J]. Nature, 2016, 529(7587): 484-489.

Silver D, Schrittwieser J, Simonyan K, et al. Mastering the game of Go without human knowledge[J]. Nature, 2017, 550(7676): 354-359.

Brown T B, Mann B, Ryder N, et al. Language models are few-shot learners[C]//Proceedings of the 34th International Conference on Neural Information Processing Systems. New York: ACM, 2020: 1877-1901.

Minsky M L. The Society of Mind[M]. Simon and Schuster, 1986: 308.

Gallagher R, Appenzeller T. Beyond reductionism[J]. Science, 1999, 284(5411): 79.

中共中央文献研究室. 毛泽东文集第七卷[M]. 北京: 人民出版社, 1999: 304.

Party Literature Research Centre of the CPC Central Committee. Volume 7 of selected works of Mao Zedong[M]. Beijing: People's Publishing House, 1999: 304.

钱学森. 一个科学新领域: 开放的复杂巨系统及其方法论[J]. 上海理工大学学报, 2011, 33(6): 526-532.

Qian X S. A new field of science: open complex giant system and its methodology[J]. Journal of University of Shanghai for Science and Technology, 2011, 33(6): 526-532.

王飞跃. 关于复杂系统研究的计算理论与方法[J]. 中国基础科学, 2004, 6(5): 3-10.

Wang F Y. Computational theory and method on complex system[J]. China Basic Science, 2004, 6(5): 3-10.

Simon H A. Artificial intelligence: an empirical science[J]. Artificial Intelligence, 1995, 77(1): 95-127.

Turing A M. Intelligent machinery[R]. Teddington: National Physical Laboratory, 1948.

Turing A M. Computing machinery and intelligence[J]. Mind, 1950, 59(236): 433-460.

Popper K R. Epistemology without a knowing subject[M]. Oxford: Oxford University Press, 1972: 106-152.

Brookes B C. The foundations of information science. Part I. Philosophical aspects[J]. Journal of Information Science, 1980, 2(3/4): 125-133.

Wang X X, Yang J, Liu Y H, et al. Parallel intelligence in three decades: a historical review and future perspective on ACP and cyber-physical-social systems[J]. Artificial Intelligence Review, 2024, 57(9): 255.

王飞跃. 平行科学: 可持续智能产业和智慧社会的基础与保障[R]. 青岛: QAII技术报告, 2014.

Wang F Y. Parallel science: the foundation and guarantee of sustainable intelligent industries and smart society[R]. Qingdao: QAII Technical Report, 2014.

Jaspers K. The origin and goal of history[M]. Translated by Bullock M. New Haven: Yale University Press, 1953.

Wheeler G. Bounded rationality[Z]. Stanford Encyclopedia of Philosophy, 2018-11-30.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

New AI for new frontier of intelligent science and technology: from PAPAI++ to new enterprise ecology

K21 education and intelligent sciences: future schools and teachers/students in future society

Digital teachers and parallel education: A paradigm shift in teaching and learning after ChatGPT

Parallel Sharhili: a new approach to sustainable development and intelligent management of ecological resources

Cerberus: a cross-site social bot detection system based on deep learning

Related Author

Wang Fei-Yue

WANG Fei-Yue

Fei-Yue WANG

WANG Fei-Yue

Peiding PI

Qinghua NI

Jing YANG

Mengzhen KANG

Related Institution

Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau

State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences

School of Artificial Intelligence, University of Chinese Academy of Sciences

Institute of Automation, Chinese Academy of Sciences

Qingdao Academy of Intelligent Industries

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰