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通讯式学习——统一的机器学习模式 Review
袁路遥, 朱松纯
《工程(英文)》 2023年 第25卷 第6期 页码 77-100 doi: 10.1016/j.eng.2022.10.017
In this article, we propose a communicative learning (CL) formalism that unifies existing machine learning paradigms, such as passive learning, active learning, algorithmic teaching, and so forth, and facilitates the development of new learning methods. Arising from human cooperative communication, this formalism poses learning as a communicative process and combines pedagogy with the burgeoning field of machine learning. The pedagogical insight facilitates the adoption of alternative information sources in machine learning besides randomly sampled data, such as intentional messages given by a helpful teacher. More specifically, in CL, a teacher and a student exchange information with each other collaboratively to transmit and acquire certain knowledge. Each agent has a mind, which includes the agent's knowledge, utility, and mental dynamics. To establish effective communication, each agent also needs an estimation of its partner's mind. We define expressive mental representations and learning formulation sufficient for such recursive modeling, which endows CL with human-comparable learning efficiency. We demonstrate the application of CL to several prototypical collaboration tasks and illustrate that this formalism allows learning protocols to go beyond Shannon's communication limit. Finally, we present our contribution to the foundations of learning by putting forth hierarchies in learning and defining the halting problem of learning.
关键词: Artificial intelligencehine Cooperative communication Machine learning Pedagogy Theory of mind
Applications of traditional pump design theory to artificial heart and CFD simulation
WANG Yingpeng, SONG Xinwei, YING Chuntong
《能源前沿(英文)》 2008年 第2卷 第4期 页码 504-507 doi: 10.1007/s11708-008-0059-5
关键词: computational high-efficiency artificial iterative approach artificial traditional
INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS
《农业科学与工程前沿(英文)》 2023年 第10卷 第4期 页码 648-653 doi: 10.15302/J-FASE-2023505
Enhancement of farming management relies heavily on enhancing farmer knowledge. In the past, both the direct learning approach and the personnel extension system for improving fertilization practices of smallholders has proven insufficiently effective. Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence as a promising alternative. The system consists of two parts. The first is a dialog interface that accepts information from farmers about their current farming practices. The second part is an intelligent decision system, which categorizes the information provided by farmers in two categories. The first consists of on-farm constraints, such as fertilizer resources, split application times and seasons. The second comprises knowledge-based practices by farmers, such as nutrient in- and output balance, ratios of different nutrients and the ratios of each split nutrient amount to the total nutrient input. The interactive knowledge learning approach aims to identify and rectify incorrect practices in the knowledge-based category while considering the farmer’s available finance, labor, and fertilizer resources. Investigations show that the interactive knowledge learning approach can make a strong contribution to prevention of the overuse of nitrogen and phosphorus fertilizers, and mitigating agricultural non-point source pollution.
关键词: artificial intelligence extension system non-point source pollution control smallholders fertilization
Artificial intelligence in gastroenterology: where are we heading?
Joseph JY Sung, Nicholas CH Poon
《医学前沿(英文)》 2020年 第14卷 第4期 页码 511-517 doi: 10.1007/s11684-020-0742-4
关键词: artificial intelligence endoscopy robotics gastrointestinal diseases
Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,
《工程(英文)》 doi: 10.1016/j.eng.2023.07.006
关键词: Artificial general intelligence Artificial intelligence benchmark Artificial intelligence evaluation Embodied artificial intelligence Value alignment Turing test Causality
《能源前沿(英文)》 2021年 第15卷 第3期 页码 568-576 doi: 10.1007/s11708-021-0774-8
关键词: visible light responsive photocatalyst water splitting artificial photosynthesis: metal ion substitution
Special issue: Innovative applications of big data and artificial intelligence
《工程管理前沿(英文)》 2022年 第9卷 第4期 页码 517-519 doi: 10.1007/s42524-022-0234-0
Mara Simopoulou, Konstantinos Sfakianoudis, Petroula Tsioulou, Anna Rapani, Polina Giannelou, Nikolaos Kiriakopoulos, Agni Pantou, Nikolaos Vlahos, George Anifandis, Stamatis Bolaris, Konstantinos Pantos, Michael Koutsilieris
《医学前沿(英文)》 2019年 第13卷 第6期 页码 627-638 doi: 10.1007/s11684-019-0697-5
关键词: artificial ovary artificial uterus artificial gametes assisted reproduction considerations in vitro fertilization
HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK
《农业科学与工程前沿(英文)》 2022年 第9卷 第1期 页码 150-154 doi: 10.15302/J-FASE-2021419
T. Chandra Sekhara REDDY
《结构与土木工程前沿(英文)》 2018年 第12卷 第4期 页码 490-503 doi: 10.1007/s11709-017-0445-3
关键词: artificial neural networks root mean square error SIFCON silica fume metakaolin steel fiber
《环境科学与工程前沿(英文)》 2022年 第16卷 第4期 doi: 10.1007/s11783-022-1536-5
• Mitigating energy utilization and carbon emission is urgent for wastewater treatment.
关键词: Wastewater treatment Artificial photosynthesis Microbial photoelectrochemical (MPEC) system Carbon neutral Renewable energy
《结构与土木工程前沿(英文)》 2021年 第15卷 第5期 页码 1181-1198 doi: 10.1007/s11709-021-0744-6
关键词: interaction load sharing ratio piled raft nonlinear regression artificial neural network
《机械工程前沿(英文)》 2022年 第17卷 第2期 doi: 10.1007/s11465-022-0678-2
关键词: pneumatic artificial muscles soft robot modeling approach principle of virtual work external load
Prediction of bed load sediments using different artificial neural network models
Reza ASHEGHI, Seyed Abbas HOSSEINI
《结构与土木工程前沿(英文)》 2020年 第14卷 第2期 页码 374-386 doi: 10.1007/s11709-019-0600-0
关键词: bed load prediction artificial neural network modeling empirical equations
Yu-xiang LI,Yin-liang ZHAO,Bin LIU,Shuo JI
《信息与电子工程前沿(英文)》 2015年 第16卷 第3期 页码 205-216 doi: 10.1631/FITEE.1400172
关键词: Speculative multithreading Thread partitioning Artificial immune algorithm
标题 作者 时间 类型 操作
Applications of traditional pump design theory to artificial heart and CFD simulation
WANG Yingpeng, SONG Xinwei, YING Chuntong
期刊论文
Artificial intelligence in gastroenterology: where are we heading?
Joseph JY Sung, Nicholas CH Poon
期刊论文
The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social
Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,
期刊论文
Visible light responsive photocatalysts developed by substitution with metal cations aiming at artificial
期刊论文
What will the future hold for artificial organs in the service of assisted reproduction: prospects and
Mara Simopoulou, Konstantinos Sfakianoudis, Petroula Tsioulou, Anna Rapani, Polina Giannelou, Nikolaos Kiriakopoulos, Agni Pantou, Nikolaos Vlahos, George Anifandis, Stamatis Bolaris, Konstantinos Pantos, Michael Koutsilieris
期刊论文
HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK
期刊论文
Predicting the strength properties of slurry infiltrated fibrous concrete using artificial neural network
T. Chandra Sekhara REDDY
期刊论文
Wastewater treatment meets artificial photosynthesis: Solar to green fuel production, water remediation
期刊论文
Interaction behavior and load sharing pattern of piled raft using nonlinear regression and LM algorithm-based artificial
期刊论文
Design and modeling of a novel soft parallel robot driven by endoskeleton pneumatic artificial muscles
期刊论文
Prediction of bed load sediments using different artificial neural network models
Reza ASHEGHI, Seyed Abbas HOSSEINI
期刊论文