I am currently a PhD candidate at Temple University, as a member of Temple AGI Team. My research direction is Artificial General Intelligence. I have been curious about how our mind works since I was a child. My ideal is to create a thinking machine, which is as intelligent as, or even more intelligent than, human beings. I have devoted myself to exploring the principles of intelligence, building a theory of intelligence, creating intelligent machines, and liberating human beings from burdensome mental work.
📖 Education
- 2022.08 – Now, Ph.D. Computer and Information Sciences, Temple University.
- 2019.09 – 2022.06, M.S. Peking University.
- 2015.09 – 2019.06, B. Eng. University of Science and Technology Beijing.
📝 Publications
-
Causal Inference in NARS. Bowen Xu, and Pei Wang*, AGI-Conference 2024
- Artificial Open World for Evaluating AGI: a Conceptual Design. Bowen Xu*, and Quansheng Ren*, AGI-Conference 2022
- We argued that the major concern of fairly evaluating AGI in practice is to avoid “the trap of developers’ experience”, which means it is humans rather than machines who solve problems.
- The measure of intelligence is related to the adaptive (or learning) speed.
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The Gap between Intelligence and Mind. Bowen Xu, Xinyi Zhan, and Quansheng Ren*, AGI-Conference 2021
- Estimating the Depth of Anesthesia from EEG Signals Based on a Deep Residual Shrinkage Network. Meng Shi, Ziyu Huang, Guowen Xiao, Bowen Xu, Quansheng Ren*, and Hong Zhao*, Sensors, 2023.
- 4D Attention-based Neural Network for EEG Emotion Recognition. Guowen Xiao, Mengwen Ye, Meng Shi, Bowen Xu, Zhendi Chen, and Quansheng Ren*, Cognitive Neurodynamics, 2021.
Preprint
- A Brain-Inspired Sequence Learning Model based on a Logic. Bowen Xu, 2023. (under peer review)
- The earlier version is the technical report A Model of Sequential Learning based on Non-Axiomatic Logic.
Non-publication
- What is Meant by AGI? On the Definition of Artificial General Intelligence. Bowen Xu, 2024.
- I summarized the genious ideas on the definitions of intelligence proposed in previous works.
- The definition of AGI was provided, “An Artificial General Intelligence (AGI) system is a computer that is adaptive to the open environment with limited computational resources and that satisfies certain principles.” The terms ‘adaptive’, ‘open environment’, and ‘certain principles’ were specified in the paper. (Video by James Griffin)
Blogs (Chinese)
- 通用人工智能：是什么？如何测试？如何实现？, 徐博文, 集智俱乐部公众号, 2024.
- 智能是什么？, 徐博文, 集智俱乐部公众号, 2023.
🎖 Honors, Awards, and Patents
- 2019, Outstanding Dissertation Award of Beijing
- 2019, Outstanding Graduate of Beijing
- 2020, China Graduate Mathematical Modeling Competition, the National Second Prize
- 2014, China Adolescent Robotics Competition, the National Second Prize
- 2014, Fujian Adolescent Robotics Competition, the Provincial Champion
- 2022, A Method of Constructing Sparse Look-Up Table, Invention Patent, Applied (ZL202210465837.8), China
- 2020, A Magnetic-Field-based Orientation Method for Human-Computer Interaction, Invention Patent, Granted (ZL201810413360.2), China
💬 Presentations
- 2023.06 Tutorial of NARS (OpenNARS: Design and Implementation), in NARS Tutorial&Workshop, AGI-Conference 2023.
- 2022.08 Talk on the paper Artificial Open World for Evaluating AGI: a Conceptual Design, in AGI-Conference 2022.
- 2022.07, 如何评估通用人工智能：开放人工世界的概念设计, 第七届中国通用人工智能年会, 专题报告.
- 2021.10, Talk on the paper The Gap between Intelligence and Mind, in AGI-Conference 2021.
🤝 Professional Service
⚙ Projects
- PyNARS: an implementation of NARS (Non-Axiomatic Reasoning System).
- SparseLUT: Sparse Look-Up-Table.
- narsese-vscode-extension: a Narsese (the representation language of NARS) syntax highlighting extension for Visual Studio Code.
© Bowen Xu