首页|Brain-inspired artificial intelligence research:A review

Brain-inspired artificial intelligence research:A review

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Artificial intelligence(AI)systems surpass certain human intelligence abilities in a statistical sense as a whole,but are not yet the true realization of these human intelligence abilities and behaviors.There are differences,and even contradictions,between the cognition and behavior of AI systems and humans.With the goal of achieving general AI,this study contains a review of the role of cognitive science in inspiring the development of the three mainstream academic branches of AI based on the three-layer framework proposed by David Marr,and the limitations of the current development of AI are explored and analyzed.The differences and inconsistencies between the cognition mechanisms of the human brain and the computation mechanisms of AI systems are analyzed.They are found to be the cause of the differences and contradictions between the cognition and behavior of AI systems and humans.Additionally,eight important research directions and their scientific issues that need to focus on brain-inspired AI research are proposed:highly imitated bionic information processing,a large-scale deep learning model that balances structure and function,multi-granularity joint problem solving bidirectionally driven by data and knowledge,AI models that simulate specific brain structures,a collaborative processing mechanism with the physical separation of perceptual processing and interpretive analysis,embodied intelligence that integrates the brain cognitive mechanism and AI computation mechanisms,intelligence simulation from individual intelligence to group intelligence(social intelligence),and AI-assisted brain cognitive intelligence.

artificial intelligencecognitive sciencebrain scienceintelligence sciencelarge language model

WANG GuoYin、BAO HuaNan、LIU Qun、ZHOU TianGang、WU Si、HUANG TieJun、YU ZhaoFei、LU CeWu、GONG YiHong、ZHANG ZhaoXiang、HE Sheng

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Chongqing Key Laboratory of Computational Intelligence,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

Key Laboratory of Cyberspace Big Data Intelligent Security,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

College of Computer and Information Science,Chongqing Normal University,Chongqing 401331,China

State Key Laboratory of Brain and Cognitive Science,Institute of Biophysics,Chinese Academy of Sciences,Beijing 100101,China

Institute of Biophysics,Chinese Academy of Sciences,Beijing 100101,China

School of Psychological and Cognitive Sciences,Peking University,Beijing 100871,China

State Key Laboratory of Multimedia Information Processing,School of Computer Science,Peking University,Beijing 100871,China

Department of Computer Science,School of Electronics,Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China

Faculty of Electronic and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China

The Center for Research on Intelligent Perception and Computing,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

Institute of Biophysics Chinese Academy of Sciences,Beijing 100101,China

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNatural science Foundation of Chongqing,ChinaProject of Chongqing Municipal Education Commission,China

622210056193600162376045cstc2021ycjhbgzxm0013HZ2021008

2024

10.1007/s11431-024-2732-9

中国科学:技术科学(英文版)
中国科学院

中国科学:技术科学(英文版)

CSTPCDEI
影响因子：1.056
ISSN：1674-7321
年,卷(期)：2024.67(8)