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Pei Wang [10]Peiyuan Wang [2]Peizhi Wang [1]Peili Wang [1]
Peipei Wang [1]Peixiong Wang [1]
  1.  8
    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.
  2.  3
    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.
  3.  5
    Why Is the Husserlian Notion of “Intentionality” Needed by Artificial General Intelligence?Yingjin Xu & Pei Wang - 2018 - Philosophical Forum 49 (4):401-425.
  4.  2
    Towards a Morally Defensible Concept of Toleration: Insights From Ancient Chinese Thinking.Pei Wang - forthcoming - Philosophy and Social Criticism.
    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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  5.  2
    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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  6.  82
    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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  7. 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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  8.  8
    The Assumptions on Knowledge and Resources in Models of Rationality.Pei Wang - 2011 - International Journal of Machine Consciousness 3 (01):193-218.
  9.  3
    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.
  10. 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.
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  11. 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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  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.  46
    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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