【阅】本周阅读摘选2025-06-23 → 2025-06-29

Posted by Cao Zihang on June 30, 2025 Word Count:
本周阅读摘选
2025-06-23 → 2025-06-29
目录

学术相关

Decision-making with cooperative multi-agent reinforcement learning 1

博士论文

LLMs and generative agent-based models for complex systems research 2

GABMs的综述。

Capturing the complexity of human strategic decision-making with machine learning 3

Search or scroll: how credibility versus likability premiums shape consumer following decisions 4

EXPRESS: Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks 5

EXPRESS: a meta-analysis of product visual aesthetics 6

  1. Sun, J. (2025). Decision-making with cooperative multi-agent reinforcement learning [Nanyang Technological University]. https://doi.org/10.32657/10356/183129 

  2. Lu, Y., Aleta, A., Du, C., Shi, L., & Moreno, Y. (2024). LLMs and generative agent-based models for complex systems research. Physics of Life Reviews, 51, 283–293. https://doi.org/10.1016/j.plrev.2024.10.013 

  3. Zhu, J.-Q., Peterson, J. C., Enke, B., & Griffiths, T. L. (2025). Capturing the complexity of human strategic decision-making with machine learning. Nature Human Behaviour. https://doi.org/10.1038/s41562-025-02230-5 

  4. Shalev, E., Morvinski, C., Shoham, M., & Kyung, E. J. (2025). Search or scroll: How credibility versus likability premiums shape consumer following decisions. Journal of Consumer Research, ucaf038. https://doi.org/10.1093/jcr/ucaf038 

  5. Boughanmi, K., Ansari, A., & Li, Y. (2025). EXPRESS: Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks. Journal of Marketing Research, 222437251349798. https://doi.org/10.1177/00222437251349798 

  6. Peng, C., Eisend, M., & Chen, Z. (2025). EXPRESS: A meta-analysis of product visual aesthetics. Journal of Marketing, 222429251356484. https://doi.org/10.1177/00222429251356484