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  1.  16
    Modelling and Analysis of a Host-Parasitoid Impulsive Ecosystem under Resource Limitation.Peipei Wang, Wenjie Qin & Guangyao Tang - 2019 - Complexity 2019:1-12.
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  2.  19
    Neurosymbolic Systems of Perception and Cognition: The Role of Attention.Hugo Latapie, Ozkan Kilic, Kristinn R. Thórisson, Pei Wang & Patrick Hammer - 2022 - Frontiers in Psychology 13.
    A cognitive architecture aimed at cumulative learning must provide the necessary information and control structures to allow agents to learn incrementally and autonomously from their experience. This involves managing an agent's goals as well as continuously relating sensory information to these in its perception-cognition information processing stack. The more varied the environment of a learning agent is, the more general and flexible must be these mechanisms to handle a wider variety of relevant patterns, tasks, and goal structures. While many researchers (...)
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  3.  35
    Multivariate Pattern Classification of Facial Expressions Based on Large-Scale Functional Connectivity.Yin Liang, Baolin Liu, Xianglin Li & Peiyuan Wang - 2018 - Frontiers in Human Neuroscience 12.
  4.  32
    Common and Specific Alterations of Amygdala Subregions in Major Depressive Disorder With and Without Anxiety: A Combined Structural and Resting-State Functional MRI Study.Yao Yao Li, Xiao Kang Ni, Ya Feng You, Yan hua Qing, Pei Rong Wang, Jia shu Yao, Ke Ming Ren, Lei Zhang, Zhi wei Liu, Tie jun Song, Jinhui Wang, Yu-Feng Zang, Yue di Shen & Wei Chen - 2021 - Frontiers in Human Neuroscience 15.
    Anxious major depressive disorder is a common subtype of major depressive disorder; however, its unique neural mechanism is not well-understood currently. Using multimodal MRI data, this study examined common and specific alterations of amygdala subregions between patients with and without anxiety. No alterations were observed in the gray matter volume or intra-region functional integration in either patient group. Compared with the controls, both patient groups showed decreased functional connectivity between the left superficial amygdala and the left putamen, and between the (...)
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  5.  28
    Theories of Artificial Intelligence—Meta-Theoretical considerations.Pei Wang - 2012 - In Pei Wang & Ben Goertzel (eds.), Theoretical Foundations of Artificial General Intelligence. Springer. pp. 305--323.
  6.  36
    Linear Representation of Emotions in Whole Persons by Combining Facial and Bodily Expressions in the Extrastriate Body Area.Xiaoli Yang, Junhai Xu, Linjing Cao, Xianglin Li, Peiyuan Wang, Bin Wang & Baolin Liu - 2018 - Frontiers in Human Neuroscience 11.
  7. Theoretical Foundations of Artificial General Intelligence.Pei Wang & Ben Goertzel (eds.) - 2012 - Springer.
    Pei Wang, Ben Goertzel. [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [ 18] [19] [20] [21] [22] [23] [24] [25] [26] [27] Bach, J. (2009). Principles ofSynthetic Intelligence PSI: An Architecture ofMotivated Cognition (Oxford University Press,  ...
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  8. A Constructive Explanation of Consciousness.Pei Wang - 2020 - Journal of Artificial Intelligence and Consciousness 7 (2):257–275.
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  9.  21
    Non-Axiomatic Logic: A Model of Intelligent Reasoning.Pei Wang - 2013 - World Scientific.
    This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author's research for about three decades.Non-Axiomatic Logic is designed to provide a uniform logical foundation for Artificial Intelligence, as well as an abstract description of the “laws of thought” followed by the human mind. Different from “mathematical” logic, where the focus is the regularity required when demonstrating mathematical conclusions, Non-Axiomatic Logic is an attempt to return to the original aim of logic, that is, (...)
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  10. The frame problem, the relevance problem, and a package solution to both.Yingjin Xu & Pei Wang - 2012 - Synthese 187 (S1):43-72.
    As many philosophers agree, the frame problem is concerned with how an agent may efficiently filter out irrelevant information in the process of problem-solving. Hence, how to solve this problem hinges on how to properly handle semantic relevance in cognitive modeling, which is an area of cognitive science that deals with simulating human's cognitive processes in a computerized model. By "semantic relevance", we mean certain inferential relations among acquired beliefs which may facilitate information retrieval and practical reasoning under certain epistemic (...)
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  11.  24
    Perception of Threatening Intention Modulates Brain Processes to Body Actions: Evidence From Event-Related Potentials.Guan Wang, Pei Wang, Junlong Luo & Wenya Nan - 2018 - Frontiers in Psychology 9.
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  12. Non-Axiomatic Reasoning System: Exploring the Essence of Intelligence.Pei Wang - 1995 - Dissertation, Indiana University
    Every artificial-intelligence research project needs a working definition of "intelligence", on which the deepest goals and assumptions of the research are based. In the project described in the following chapters, "intelligence" is defined as the capacity to adapt under insufficient knowledge and resources. Concretely, an intelligent system should be finite and open, and should work in real time. ;If these criteria are used in the design of a reasoning system, the result is NARS, a non-axiomatic reasoning system. ;NARS uses a (...)
     
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  13.  17
    En quel sens la « communauté » est-elle une problématique du confucianisme?Pei Wang - 2023 - Revue de Philosophie Économique 24 (1):147-165.
    Le mot 社群 ( she qun, communauté, au sens de la Gemeinschaft allemande) n’était certes pas une problématique traditionnellement confucéenne. La compréhension éthique générale de la Chine antique reposait sur 三纲五常 ( san gang wu chang ; les trois disciplines et les cinq justes relations interpersonnelles). Les religions, associations et académies non dominantes étaient plus proches du concept de communauté. Les concepts occidentaux modernes de la sociologie ont été introduits pour la première fois en Chine à la fin du xix (...)
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  14.  17
    The limitation of Bayesianism.Pei Wang - 2004 - Artificial Intelligence 158 (1):97-106.
  15.  25
    Intelligent Turning Tool Monitoring with Neural Network Adaptive Learning.Maohua Du, Peixin Wang, Junhua Wang, Zheng Cheng & Shensong Wang - 2019 - Complexity 2019:1-21.
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  16. Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms. Proceedings of the AGI Workshop 2008. Frontiers in Artificial Intelligence and Applications.Benjamin Goertzel & Pei Wang (eds.) - forthcoming - IOS Press: Amsterdam.
  17.  13
    Effects of Low-Calorie Nutrition Claim on Consumption of Packaged Food in China: An Application of the Model of Consumer Behavior.Zeying Huang, Haijun Li, Pei Wang & Jiazhang Huang - 2022 - Frontiers in Psychology 12.
    More and more packaged products in China have been labeled as low-calorie products since the official implementation of nutrition claims in 2007. But little was known about the impact of such claims on the Chinese consumption of low-calorie food on the background of increasing rates of obesity among the Chinese population. This study sought to fill the gap by applying a consumer behavior model to a nationally representative online survey by means of structural equation modeling. The findings revealed that nutrition (...)
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  18.  7
    Cong zheng zhi dao wei min zhi de: ling dao gan bu zheng zhi dao de yan jiu.Guangyao Li, Xiufen Liu & Peizhi Wang (eds.) - 1999 - Jinan Shi: Jinan chu ban she.
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  19.  16
    Prevalence and Correlates of Social Stigma Toward Diabetes: Results From a Nationwide- Survey in Singapore.Mythily Subramaniam, Edimansyah Abdin, S. Bhuvaneswari, P. V. AshaRani, Fiona Devi, Kumarasan Roystonn, Peizhi Wang, Ellaisha Samari, Saleha Shafie, Janhavi Ajit Vaingankar, Rob M. van Dam, Eng Sing Lee, Chee Fang Sum & Siow Ann Chong - 2021 - Frontiers in Psychology 12.
    Aims: To examine the extent of social stigma toward diabetes among Singapore's multi-ethnic general population and determine whether this differs across socio-demographic sub-groups.Methods: Data for this study came from a nationwide cross-sectional study. A diabetes stigma questionnaire comprising Social Distance Scale and Negative Attitudes and Stereotyping Scale was administered to those respondents who had not been diagnosed with diabetes. Exploratory factor analysis was conducted to determine the dimensionality of the instruments and validated using confirmatory factor analysis. Multiple linear regression analysis (...)
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  20. Case-by-case problem solving.Pei Wang - 2009 - In B. Goertzel, P. Hitzler & M. Hutter (eds.), Proceedings of the Second Conference on Artificial General Intelligence. Atlantis Press. pp. 180--185.
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  21.  10
    Doctors inhibit social threat empathy in the later stage of cognitive processing: Electrophysiological evidence.Guan Wang, Pei Wang & Yinghong Chen - 2021 - Consciousness and Cognition 92 (C):103130.
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  22.  6
    Guan nian geng xin lun.Peizhi Wang (ed.) - 1993 - Nanning Shi: Guangxi ren min chu ban she.
  23.  7
    教育哲学: 问题与观念.Peixiong Wang & Xiao Jiang - 1989 - Shenyang: Liaoning sheng xin hua shu dian fa xing. Edited by Xiao Jiang.
  24. Jiao yu zhe xue: wen ti yu guan nian.Peixiong Wang - 1989 - Shenyang: Liaoning sheng xin hua shu dian fa xing. Edited by Xiao Jiang.
     
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  25.  17
    Online impulse buying behavior and marketing optimization guided by entrepreneurial psychology under COVID-19.Pei Wang & Sindy Chapa - 2022 - Frontiers in Psychology 13:939786.
    This work aims to promote the development of the online shopping market and improve the online marketing effect of goods. First, entrepreneurial psychology and online shopping are discussed. Then, impulse buying behavior (IBB) is analyzed, and the IBB model and hypotheses of consumers are proposed under the psychological model. Finally, consumers’ IBB during COVID-19 is assessed under the psychological models. Hedonic shopping value (HSV) is a psychological factor directly affecting consumers’ IBB during COVID-19. The results indicate that COVID-19 has a (...)
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  26.  25
    Towards a morally defensible concept of toleration: Insights from ancient Chinese thinking.Pei Wang - 2019 - Philosophy and Social Criticism 45 (4):461-468.
    The diversification of the world has given us the opportunity to live with different people. This kind of diversification brings not only adventure and excitements but also interaction with people and their habits that we do not agree with. In response, toleration has become the common sense of people in modern society. However, what is the meaning of the word toleration? What moral emotions underlie the practice of toleration? This article puts forward a morally defensible concept of toleration inspired by (...)
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  27.  33
    The assumptions on knowledge and resources in models of rationality.Pei Wang - 2011 - International Journal of Machine Consciousness 3 (01):193-218.
    Intelligence can be understood as a form of rationality, in the sense that an intelligent system does its best when its knowledge and resources are insufficient with respect to the problems to be solved. The traditional models of rationality typically assume some form of sufficiency of knowledge and resources, so cannot solve many theoretical and practical problems in Artificial Intelligence (AI). New models based on the Assumption of Insufficient Knowledge and Resources (AIKR) cannot be obtained by minor revisions or extensions (...)
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  28.  6
    Xing li luo ji dao lun.Peizhi Wang - 1994 - Beijing: Xin hua shu dian jing xiao.
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  29.  51
    Why Is the Husserlian Notion of “Intentionality” Needed by Artificial General Intelligence?Yingjin Xu & Pei Wang - 2018 - Philosophical Forum 49 (4):401-425.
  30.  1
    Parental awareness and perspectives on newborn screening in China: a questionnaire-based study.Xiaoshan Yin, Peiyao Wang, Ziyan Cen, Zinan Yu, Qimin He, Benqing Wu & Xinwen Huang - 2024 - BMC Medical Ethics 25 (1):1-8.
    Low parental awareness and knowledge about newborn screening have been identified as a public issue. This study explored Chinese parents’ self-evaluation of awareness, knowledge, and methods of receiving information about newborn screening. Using convenience sampling, we included 614 respondents who were expectant parents or parents of children aged 0-3 years. Our self-made questionnaire comprised four sections: sociodemographic characteristics, self-evaluation of awareness, detailed knowledge about newborn screening, and practical and expected methods of receiving newborn screening information. We found that 72.9% of (...)
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