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Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 498-505 doi: 10.1007/s11684-020-0791-8

Abstract: On the basis of the principles and algorithms of dynamic uncertain causality graph (DUCG), a diagnosis

Keywords: disorders of sex development (DSD)     intelligent diagnosis     dynamic uncertain causality graph    

Causality relationship between the photovoltaic market and its manufacturing in China, Germany, the US

Molin HUO, Xiliang ZHANG, Jiankun HE

Frontiers in Energy 2011, Volume 5, Issue 1,   Pages 43-48 doi: 10.1007/s11708-010-0135-5

Abstract: This paper aims to investigate the Granger causality relationships between the photovoltaic (PV) market

Keywords: photovoltaic     innovation     demand pull     scale economies     granger causality    

Causality between energy consumption and GDP in the U.S.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 1-8 doi: 10.1007/s11708-013-0290-6

Abstract: growth by employing the wavelet transformation to obtain different time scales in order to investigate causalityTheir approach consists of first decomposing the series into time scales by wavelet filters and testing causality

Keywords: energy consumption     economic growth     wavelet analysis     granger causality    

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: The artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causality

Keywords: knowledge representation     uncertain     causality     graphical model     artificial intelligence     diagnosis     dyspnea    

Evidence chain-based causality identification in herb-induced liver injury: exemplification of a well-known

Jiabo Wang,Zhijie Ma,Ming Niu,Yun Zhu,Qingsheng Liang,Yanling Zhao,Jingyuan Song,Zhaofang Bai,Yaming Zhang,Ping Zhang,Na Li,Yakun Meng,Qi Li,Lushan Qin,Guangju Teng,Junling Cao,Baosen Li,Shilin Chen,Yonggang Li,Zhengsheng Zou,Honghao Zhou,Xiaohe Xiao

Frontiers of Medicine 2015, Volume 9, Issue 4,   Pages 457-467 doi: 10.1007/s11684-015-0417-8

Abstract: However, reliable methods to identify the DILI causality of some herbs, such as Heshouwu (dried roothospitalization and literature case reports, respectively, demonstrate the high probability of DILI causalityprospectively investigated by pharmacognosy, phytochemistry, and metabolomic tests exhibited highly probable causalityincluding a patient who was previously incorrectly attributed and a case that was excluded from Heshouwu causalityToxin (heavy metals, pesticides, and mycotoxins) contamination was also excluded from Heshouwu DILI causality

Keywords: drug-induced liver injury     pharmacognosy     metabolomics     stilbene     Polygonum multiflorum     Chinese herbal medicine    

Relationship between electricity consumption and economic growth of Guangdong Province in China

Lianhong LV, Hong LUO, Baoliu ZHANG

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 351-355 doi: 10.1007/s11708-012-0209-7

Abstract: In this paper, the econometrics method of granger causality test and co-integration test is used to analyzeThe results indicate that there is unidirectional causality between the economic growth and the EC, and

Keywords: co-integration     granger causality     electricity consumption (EC)     economic growth    

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 31-40 doi: 10.1007/s11708-014-0296-8

Abstract: Moreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity

Keywords: energy policies     electricity demand     GDP     labor force     stationarity     structural breaks     cointegration     causality    

Bidirectional Causality Between Immunoglobulin G N-Glycosylation and Metabolic Traits: A Mendelian Randomization Article

Xiaoni Meng, Weijie Cao, Di Liu, Isinta Maranga Elijah, Weijia Xing, Haifeng Hou, Xizhu Xu, Manshu Song, Youxin Wang

Engineering 2023, Volume 26, Issue 7,   Pages 74-88 doi: 10.1016/j.eng.2022.11.004

Abstract: conclusion, the comprehensively bidirectional MR analyses provide suggestive evidence of bidirectional causality

Keywords: study     Immunoglobulin G     N-glycosylation     Metabolic traits     Quantitative trait loci     Bidirectional causality    

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense Feature Article

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu

Engineering 2020, Volume 6, Issue 3,   Pages 310-345 doi: 10.1016/j.eng.2020.01.011

Abstract: We identify functionality, physics, intent, causality, and utility (FPICU) as the five core domains of

Keywords: Computer vision     Artificial intelligence     Causality     Intuitive physics     Functionality     Perceived intent    

Causality fields in nonlinear causal effect analysis Correspondence

Aiguo WANG, Li LIU, Jiaoyun YANG, Lian LI,dcsliuli@cqu.edu.cn,jiaoyun@hfut.edu.cn,wangaiguo2546@163.com,llian@hfut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1277-1286 doi: 10.1631/FITEE.2200165

Abstract: Compared with linear causality, nonlinear causality has more complex characteristics and content.In this paper, we discuss certain issues related to nonlinear causality with an emphasis on the conceptof causality field.and the identification problem of causality fields.We also reveal the importance and practical significance of nonlinear causality in handling complex causal

Keywords: 非线性因果效应;因果域;z-特异性因果效应;正向因果;负向因果;空因果    

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

Engineering doi: 10.1016/j.eng.2023.07.006

Abstract: The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence (AGI) to the forefront of the artificial intelligence (AI) field once again. However, the questions of how to define and evaluate AGI remain unclear. This perspective article proposes that the evaluation of AGI should be rooted in dynamic embodied physical and social interactions (DEPSI). More specifically, we propose five critical characteristics to be considered as AGI benchmarks and suggest the Tong test as an AGI evaluation system. The Tong test describes a value- and ability-oriented testing system that delineates five levels of AGI milestones through a virtual environment with DEPSI, allowing for infinite task generation. We contrast the Tong test with classical AI testing systems in terms of various aspects and propose a systematic evaluation system to promote standardized, quantitative, and objective benchmarks and evaluation of AGI.

Keywords: benchmark     Artificial intelligence evaluation     Embodied artificial intelligence     Value alignment     Turing test     Causality    

Title Author Date Type Operation

Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of

Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu, Renzhi Wang

Journal Article

Causality relationship between the photovoltaic market and its manufacturing in China, Germany, the US

Molin HUO, Xiliang ZHANG, Jiankun HE

Journal Article

Causality between energy consumption and GDP in the U.S.: evidence from wavelet analysis

Alper ASLAN, Nicholas APERGIS, Selim YILDIRIM

Journal Article

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Journal Article

Evidence chain-based causality identification in herb-induced liver injury: exemplification of a well-known

Jiabo Wang,Zhijie Ma,Ming Niu,Yun Zhu,Qingsheng Liang,Yanling Zhao,Jingyuan Song,Zhaofang Bai,Yaming Zhang,Ping Zhang,Na Li,Yakun Meng,Qi Li,Lushan Qin,Guangju Teng,Junling Cao,Baosen Li,Shilin Chen,Yonggang Li,Zhengsheng Zou,Honghao Zhou,Xiaohe Xiao

Journal Article

Relationship between electricity consumption and economic growth of Guangdong Province in China

Lianhong LV, Hong LUO, Baoliu ZHANG

Journal Article

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Journal Article

Bidirectional Causality Between Immunoglobulin G N-Glycosylation and Metabolic Traits: A Mendelian Randomization

Xiaoni Meng, Weijie Cao, Di Liu, Isinta Maranga Elijah, Weijia Xing, Haifeng Hou, Xizhu Xu, Manshu Song, Youxin Wang

Journal Article

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu

Journal Article

Causality fields in nonlinear causal effect analysis

Aiguo WANG, Li LIU, Jiaoyun YANG, Lian LI,dcsliuli@cqu.edu.cn,jiaoyun@hfut.edu.cn,wangaiguo2546@163.com,llian@hfut.edu.cn

Journal Article

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

Journal Article