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

Artificial Open World for Evaluating AGI: a Conceptual Design. Bowen Xu*, and Quansheng Ren*, AGI-Conference 2022
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

What is Meant by AGI? On the Definition of Artificial General Intelligence. Bowen Xu, 2024. (under peer review)
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

Logic Acquisition and Inference by Neural Networks. Bowen Xu, 2023.
- This is a project report for Prof. Pei Wang’s course (CIS 5603) Artificial Intelligence. I argued that neural networks can do logic reasoning and defended my position by proving that Transformers can learn abstract/formal relations, which represent logical inference rules.

🎖 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

Program Committee, Conference on Artificial General Intelligence, 2023.

⚙ 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 (徐博文)