专题:跨领域人工智能技术

跨越学科、领域、文化和文明的智能

  • 刘伟 ,
  • 邹阳洋 ,
  • 孙维一
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  • 北京邮电大学人工智能学院, 北京 100876
刘伟,研究员,研究方向为人机混合智能、人机交互、认知工程、用户体验、人机环境系统工程、分析哲学、未来态势感知模式与行为分析/预测技术,电子信箱:twhlw@163.com

收稿日期: 2024-03-06

  修回日期: 2024-04-16

  网络出版日期: 2025-01-06

基金资助

国家社会科学基金重大项目(23&ZD143);教育部哲学社会科学重大攻关项目(23JZD005)

Intelligence that spans disciplines, fields, cultures, and civilizations

  • LIU Wei ,
  • ZOU Yangyang ,
  • SUN Weiyi
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  • School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received date: 2024-03-06

  Revised date: 2024-04-16

  Online published: 2025-01-06

摘要

智能是一个系统性、生态性的概念,涉及多个学科和领域的知识和理解,在不同文化和历史背景下各有差异和特点。智能是系统性的,也是多样性的,不同的智能体有不同的智能类型、特点和表现方式。智能既有高级的部分,也有普通的部分。高级智能包括深度学习、自然语言处理等复杂技术,而普通智能则包括基本的模式识别、数据处理等任务。这种多层次的智能覆盖了不同领域和应用需求,对人类生活和工作产生积极影响。智能分为科技的部分和艺术的部分,智能既是唯物也是唯心的,是涉及物理、生物和社会因素相互作用的复杂系统。探讨了智能的本体论、方法论和认识论,关注智能的本质和存在方式、如何构建和实现智能系统、智能体与外部世界的交互和认知过程,这3个层面的研究相互关联,共同推动了智能领域的发展。智能系统作为人机环境系统交互的表征,构成要素为人、机器和环境,它们之间的交互是智能系统运行和发展的基础。智能在东方和西方文化中有不同影响,智能是人类进化的产物,塑造了人类的思维、行为和文明,使人类成为地球上最具创造力和适应性的物种。智能既包含数学也有非数学,既有变化的部分又有不变的部分。这些多元成分的存在使得智能体能够更好地适应和应对不同情境,实现更高的性能和效益。

本文引用格式

刘伟 , 邹阳洋 , 孙维一 . 跨越学科、领域、文化和文明的智能[J]. 科技导报, 2024 , 42(23) : 62 -69 . DOI: 10.3981/j.issn.1000-7857.2024.03.01079

Abstract

Intelligence is a systematic and ecological concept, involving knowledge and understanding in multiple disciplines and fields, with differences and characteristics in different cultural and historical backgrounds. Intelligence is systematic yet diverse. Different agents have different types, characteristics, and expressions of intelligence. Intelligence has both advanced and ordinary parts. Advanced intelligence includes complex technologies such as deep learning and natural language processing, while ordinary intelligence includes basic pattern recognition, data processing and other tasks. This multi-level intelligence covers different fields and application needs, and has a positive impact on human life and work. Intelligence is divided into a technological part and an artistic part. Intelligence is both materialistic and idealistic, and is a complex system involving the interaction of physical, biological and social factors. This article also explores the ontology, methodology and epistemology of intelligence, focusing on the nature and existence of intelligence, how to build and implement intelligent systems, and the interaction and cognitive process between intelligent agents and the external world. Researches at these three levels are interrelated and jointly promote the development of the field of intelligence. As a representation of the interaction between human-machine environment system, intelligent systems are composed of humans, machines and the environment. The interaction between them is the basis for the operation and development of intelligent systems. Intelligence has different influences on eastern and western cultures. Intelligence is the product of human evolution, shaping human thinking, behavior and civilization, making humans the most creative and adaptable species on earth. Intelligence contains both mathematical and nonmathematical parts, both changing and unchanging parts. The existence of these multiple components enables the intelligent agent to better adapt to and respond to different situations and achieve higher performance and efficiency.

参考文献

[1] 刘伟. 智能与人机融合智能[J]. 指挥信息系统与技术, 2018, 9(4): 1-7.
[2] Yurtsever E, Lambert J, Carballo A, et al. A survey of autonomous driving: Common practices and emerging technologies[J]. IEEE Access, 2020, 8: 58443-58469.
[3] Kamath U, Liu J, Whitaker J. Deep learning for NLP and speech recognition[M]. Cham: Springer International Publishing, 2019.
[4] Kriegeskorte N, Golan T. Neural network models and deep learning[J]. Current Biology, 2019, 29(7): R231-R236.
[5] 刘伟. 追问人工智能: 从剑桥到北京[M]. 北京: 科学出版社, 2019.
[6] Shen Y, Yu F. The influence of artificial intelligence on art design in the digital age[J]. Scientific Programming, 2021, 2021: 4838957.
[7] Ullman S. Using neuroscience to develop artificial intelligence[J]. Science, 2019, 363(6428): 692-693.
[8] Dong Y Y, Hou J, Zhang N, et al. Research on how human intelligence, consciousness, and cognitive computing affect the development of artificial intelligence[J]. Complexity, 2020, 2020: 1680845.
[9] Pyo S, Lee J, Bae K, et al. Recent progress in flexible tactile sensors for human-interactive systems: From sensors to advanced applications[J]. Advanced Materials, 2021, 33(47): e2005902.
[10] 刘伟. 人机融合: 超越人工智能[M]. 北京: 清华大学出版社, 2021.
[11] 刘伟. 人机环境系统智能: 超越人机融合[M]. 北京: 科学出版社, 2024.
[12] Lalanne D, Kohlas J. Human machine interaction[J]. Control Systems, Robotics, and Automation, 2009, doi: 10.1007/978-3-642-00437-7.
[13] Hwang G J, Tu Y F. Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review[J]. Mathematics, 2021, 9(6): 584.
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