基于自感知和自表达架构的自行镇定系统的构造性方法

doi:10.11959/j.issn.2096-6652.202245

智能科学与技术学报 ›› 2022, Vol. 4 ›› Issue (3): 371-379.doi: 10.11959/j.issn.2096-6652.202245

基于自感知和自表达架构的自行镇定系统的构造性方法

文钧屹¹, 余祥¹, 毛碧飞¹, 李静辉¹, 姚新²

¹ 华为技术有限公司，广东深圳 518129
² 南方科技大学计算机科学与工程系，广东深圳 518055

修回日期:2022-05-25 出版日期:2022-09-15 发布日期:2022-09-01
作者简介:文钧屹（1993- ），男，博士，华为技术有限公司高级工程师，主要研究方向为系统学、可信理论、控制论、AI 治理、符号计算等
余祥（1970- ），男，华为技术有限公司高级工程师，主要研究方向为云计算、人工智能、分布式控制等
毛碧飞（1970- ），女，华为技术有限公司可信理论资深研究员，主要研究方向为可信理论基础、技术伦理、AI治理等
李静辉（1984- ），男，博士，华为技术有限公司技术专家，主要研究方向为AI治理、可信理论、可靠性、AIOps
姚新（1962- ），男，博士，南方科技大学计算机科学与工程系主任、讲席教授，主要研究方向为演化计算、智能优化、机器学等

A constructive approach to ultrastable systems based on the self-awareness and self-expression architecture

Junyi WEN¹, Xiang YU¹, Bifei MAO¹, Jinghui LI¹, Xin YAO²

¹ Huawei Technologies Co., Ltd., Shenzhen 518129, China
² Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China

Revised:2022-05-25 Online:2022-09-15 Published:2022-09-01

摘要/Abstract

摘要：

自行镇定系统是指在面对复杂环境改变时可以自适应回到稳定状态的系统。罗斯·艾什比曾制作出内稳定器证明了自行镇定系统的存在性，但在工程实践上缺乏方法论指导构造自行镇定系统。基于此，提出一种实现系统自行镇定的构造性方法。基于自感知和自表达的原理，给出了自行镇定系统的构造性框架，为设计自行镇定系统建立了一套在工程上可行的理论架构与方法学，而且该架构也使自行镇定系统更易于理解优化。对自行镇定的系统实例——内稳定器进行仿真，实验结果显示了提出架构的有效性。

关键词: 自行镇定系统, 自感知, 自表达, 内稳定器

Abstract:

Abstarct: An ultrastable system can adaptively return to the stable state when the complex environment changes.W.Ross.Ashby has made the homeostat to prove the existence of the ultrastable system.However, there is no methodological guidance on how to construct anultrastable system in engineering practice.A constructive approach to ultrastable systemswas presented.Based on the principles of self-awareness and self-expression, a constructive framework of the ultrastable system was proposed, and a feasible theoretical framework and methodology for designing the ultrastable system were established.The framework makes the ultrastable system easier to understand and optimize.The simulation results on the homeostat, an ultrastable system, show the effectiveness of the proposed framework.

Key words: ultrastable system, self-awareness, self-expression, homeostat

中图分类号:

TB114.2

文钧屹, 余祥, 毛碧飞, 等. 基于自感知和自表达架构的自行镇定系统的构造性方法[J]. 智能科学与技术学报, 2022, 4(3): 371-379.

Junyi WEN, Xiang YU, Bifei MAO, et al. A constructive approach to ultrastable systems based on the self-awareness and self-expression architecture[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(3): 371-379.

图/表 12

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

表1

图11

参考文献 15

[1]	ASHBY W R . Design for a brain[M]. New York: John Wiley ＆ Sons, 1952.
[2]	钱学森 . 工程控制论:新世纪版[M].戴汝为,何善堉,译. 上海: 上海交通大学出版社, 2007.
	QIAN X S . Engineering cybernetics:new century edition[M]. Translated by DAI R W,HE S Y. Shanghai: Shanghai Jiao Tong University Press, 2007.
[3]	王飞跃, 曹东璞, 魏庆来 . 强化学习:迈向知行合一的智能机制与算法[J]. 智能科学与技术学报, 2020,2(2): 101-106.
	WANG F Y , CAO D P , WEI Q L . Reinforcement learning:toward action-knowledge merged intelligent mechanisms and algorithms[J]. Chinese Journal of Intelligent Science and Technology, 2020,2(2): 101-106.
[4]	郑南宁 . 人工智能新时代[J]. 智能科学与技术学报, 2019,1(1): 1-3.
	ZHENG N N . The new era of artificial intelligence[J]. Chinese Journal of Intelligent Science and Technology, 2019,1(1): 1-3.
[5]	CARIANI P A . The homeostat as embodiment of adaptive control[J]. International Journal of General Systems, 2009,38(2): 139-154.
[6]	LEWIS P R , CHANDRA A , FANIYI F ,et al. Architectural aspects of self-aware and self-expressive computing systems:from psychology to engineering[J]. Computer, 2015,48(8): 62-70.
[7]	BECKER T , AGNE A , LEWIS P R ,et al. EPiCS:engineering proprioception in computing systems[C]// Proceedings of 2012 IEEE 15th International Conference on Computational Science and Engineering. Piscataway:IEEE Press, 2012: 353-360.
[8]	罗斯·艾什比 . 大脑设计[M].乐秀成,朱熹豪,译. 北京: 商务印书馆, 1991.
	ASHBY W R . Design for a brain[M]. Transected by LE X C,ZHU X H. Beijing: The Commercial Press, 1991.
[9]	伍卓群, 李勇 . 常微分方程[M]. 北京: 高等教育出版社, 2004.
	WU Z Q , LI Y . Ordinary differential equation[M]. Beijing: Higher Education Press, 2004.
[10]	LEWIS P R , CHANDRA A , PARSONS S ,et al. A survey of self-awareness and its application in computing systems[C]// Proceedings of 2011 5th IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops. Piscataway:IEEE Press, 2011: 102-107.
[11]	ESTERLE L , LEWIS P R , YAO X ,et al. Socio-economic vision graph generation and handover in distributed smart camera networks[J]. ACM Transactions on Sensor Networks, 2014,10(2): 1-24.
[12]	CHEN T , BAHSOON R , YAO X . Synergizing domain expertise with self-awareness in software systems:a patternized architecture guideline[J]. Proceedings of the IEEE, 2020,108(7): 1094-1126.
[13]	黄明游, 冯果忱 . 数值分析(下册)[M]. 北京: 高等教育出版社, 2008.
	HUANG M Y , ZHEN G C . Numerical analysis (volume2)[M]. Beijing: Higher Education Press, 2008.
[14]	AUER P , CESA-BIANCHI N , FISCHER P . Finite-time analysis of the multiarmed bandit problem[J]. Machine Learning, 2002,47(2): 235-256.
[15]	王飞跃 . 平行哲学与智能技术:平行产业与智慧社会的对偶方程与测试基础[J]. 智能科学与技术学报, 2021,3(3): 245-255.
	WANG F Y . Parallel philosophy and intelligent technology:dual equations and testing systems for parallel industries and smart societies[J]. Chinese Journal of Intelligent Science and Technology, 2021,3(3): 245-255.

机制	变量数	参数组合数	稳定状态参数组合数	回到稳态时间/s
随机选择	2	4	1	59.59
UCB方法	2	4	1	7.65

基于自感知和自表达架构的自行镇定系统的构造性方法

A constructive approach to ultrastable systems based on the self-awareness and self-expression architecture

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 15

相关文章 0

Metrics

推荐阅读 0