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类脑心智计算的科学技术和工程应用的研究与思考 被引量:1

Thoughts on Development and Research of Science,Technology and Engineering Application of Brain&Mind-inspired Computing
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摘要 发展新一代的类脑智能,需要综合考虑形成自然智能的结构、功能和行为等研究,偏颇任一方向都是不全面的,难以完全触及智能的本质。文中基于神经系统的结构仿真、认知系统的功能模仿和自然智能的行为模拟,定义了类脑心智计算(BMC)的基本概念,提出了BMC的假设、模型和框架,研究了BMC的前沿理论。在大脑机制、心智模式和行为控制上,分析了当前BMC研究的技术路线、核心算法和关键技术,综述了BMC的复杂系统和工程应用现状。结合智能科学、神经科学、认知科学、信息科学和计算数学等多学科的交叉融合特征,进一步讨论了BMC的科研范式和跨学科建设问题。BMC研究将有望在新一代类脑智能的科学理论、技术创新和工程系统上取得重大突破。 To develop a new generation of brain-inspired intelligence,we need to comprehensively consider the structure,function and behavior of natural intelligence.Bias in any direction is not comprehensive,and it is difficult to fully touch the essence of intelligence.Based on the structure simulation of nervous system,the function emulation of cognitive system and the behavior imitation of natural intelligence,this paper defines the basic concept of brain&mind-inspired computing(BMC),puts forward the hypothesis,model and framework of BMC,and studies the frontier theory of BMC.Then it explores and analyzes the technical route,core algorithms and key technologies of BMC research,and summarizes the current situation of complex system and engineering application of BMC in the aspects of brain mechanism,mental model and behavior control.Combined with the multidisciplinary and interdisciplinary characteristics of intelligence science,neuroscience,cognitive science,information science and computational mathematics,it further discusses the research paradigm and transdisciplinary construction of BMC,brain-inspired computing and brain-like computing.Reserch of BMC is expected to make a major breakthrough in the scientific theory,technological innovation and engineering system of the new generation of brain-inspired intelligence.
作者 刘扬 刘睿佳 周黎鸣 左宪禹 杨伟 周毅 LIU Yang;LIU Ruijia;ZHOU Liming;ZUO Xianyu;YANG Wei;ZHOU Yi(Henan Province Engineering Research Center of Spatial Information Processing,Henan University,Kaifeng,Henan 475004,China;Henan Key Laboratory of Big Data Analysis and Processing,Henan University,Kaifeng,Henan 475004,China;International Joint Research Laboratory for Cooperative Vehicular Networks of Henan,Henan University,Zhengzhou 450046,China;School of Computer and Information Engineering,Henan University,Kaifeng,Henan 475004,China;School of Software,Henan University,Kaifeng,Henan 475004,China;School of Artificial Intelligence,Henan University,Zhengzhou 450046,China;Shenzhen Research Institute,Henan University,Shenzhen,Guangdong 518000,China)
出处 《计算机科学》 CSCD 北大核心 2023年第2期364-373,共10页 Computer Science
基金 国家自然科学基金(62176087,62176088,61806074) 深圳市中央引导地方科技发展专项(2021Szvup032,2021Szvup029) 河南省研究生教育改革与质量提升工程项目(YJS2022JC33) 河南大学教学改革研究与实践项目(HDXJJG2020-109,HDXJJG2019-81,HDXJJG2020-74)。
关键词 类脑心智计算 类脑智能 跨媒体认知神经计算 跨模态神经认知计算 跨学科研究 Brain and mind inspired computing Brain-inspired intelligence Cross-media cognitive neural computing Cross-modal neural cognitive computing Interdisciplinary research
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