Bowen Xu (徐博文)

Bowen Xu (徐博文)

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. I am dedicated 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.

📄 Selected Papers

  • A Brain-Inspired Sequence Learning Model based on a Logic. Bowen Xu, Scientific Reports, 2025. | code
    • The model is based on Non-axiomatic Logic (NAL) and mimics neocortical mini-columns.
    • The model demonstrates satisfied performance in online, continual sequence learning, providing preliminary evidence that sequence learning can be effectively and efficiently achieved using NAL.
  • What Do You Mean By “Open World”?. Bowen Xu, NeurIPS 2024 Workshop on Open-World Agents.
    • “Open world” is characterized by two properties, unbounded space and time, and unbounded tasks.
  • Causal Inference in NARS. Bowen Xu, and Pei Wang*, AGI-Conference 2024 | Video, 2024.07
    • Causation is a fat concept. The primary meaning of causation is prediction, while other demands are attached in different contexts. No true causal graph should be assumed.
    • The NARS approach to causal inferene is systematically summarized.
  • What is Meant by AGI? On the Definition of Artificial General Intelligence. Bowen Xu, 2024. | Video by James Griffin, 2024.05
    • I summarized the genious ideas on the definitions of intelligence proposed in previous works.
    • The definition of AGI is 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.
  • Artificial Open World for Evaluating AGI: a Conceptual Design. Bowen Xu*, and Quansheng Ren*, AGI-Conference 2022 | Video, 2022.08 | 视频, 2022.07
    • 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.
  • The Gap between Intelligence and Mind. Bowen Xu, Xinyi Zhan, and Quansheng Ren*, AGI-Conference 2021 | Video, 2021.10
    • The hard problem of consciousness is discussed in the context of AGI.
    • Feeling is defined as a subjective, private, and non-representable inner experience that manifests as a tendency to adaptively change input by expressing its inner state.

   Blog Posts

🎖 Honors&Awards

  • 2019, Outstanding Dissertation Award of Beijing
  • 2019, Outstanding Graduate of Beijing
  • 2014, China Adolescent Robotics Competition, the National Second Prize
  • 2014, Fujian Adolescent Robotics Competition, the Provincial Champion

🤝 Service

  • Program Committee, International Conference on Artificial General Intelligence, 2023, 2024, 2025.
  • Teaching Assistant for CIS 1057 Computer Programming in C, 2022.08 – 2024.05
  • Teaching Assistant for CIS 4517/5517 Data-intensive and Cloud Computing, 2024.08 – Now

⚙ Projects

© Bowen Xu