最新动态

( "AI Agent & 计算实验"系列文章 )

[1] 薛霄 著. 复杂系统的计算实验方法-从Agent Simulation到Social Simulator, 科学出版社, 2025年12月.

【了解】AI4SS-复杂系统的计算实验方法 【试读版下载链接】

[2] 薛霄 著. 复杂系统的计算实验方法-原理、模型与案例, 科学出版社, 2020年9月.

【序】为什么要计算实验  【书评】"计算人文"离我们有多远？   【试读版下载链接】

【了解】复杂系统的计算实验方法

[3] 薛霄*, 于湘凝, 周德雨, 彭超, 王晓, 周长兵, 王飞跃. 计算实验方法的溯源、现状与展望, 自动化学报, 2023, 49(2): 246-271. (CCF A期刊, 一级学报)

[4] Xiangning Yu, Zhuohan Wang, Linyi Yang, Haoxuan Li, Anjie Liu, Xiao Xue*, Jun Wang, Mengyue Yang. Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning. 2025 Conference on Neural Information Processing Systems(NeurIPS) . (CCF A会)

[5] Xiao Xue*, Deyu Zhou（共一）, Xiangning Yu, Gang Wang, Juanjuan Li, Xia Xie, Lizhen Cui, Fei-Yue Wang. Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation, IEEE/CAA Journal of Automatica Sinica, 2024, 11(4):1022-1038. (CCF T1期刊, 中科院大类1区, 计算实验方法 Part 5)

[6] Xiao Xue*, Xiangning Yu, Deyu Zhou, Xiao Wang, Chongke Bi, Shufang Wang, Fei-Yue Wang. Computational Experiments for Complex Social Systems: Integrated Design of Experiment System, IEEE/CAA Journal of Automatica Sinica, 2024, 11(5):1175-1189. (CCF T1期刊, 中科院大类1区, 计算实验方法 Part 4)

[7] Xiao Xue*, Xiang-Ning Yu, De-Yu Zhou, Chao Peng, Xiao Wang, Fei-Yue Wang. Computational Experiments for Complex Social Systems, Part III: the Docking of Domain Models, IEEE Transactions on Computational Social Systems, vol. 11, no. 2, pp. 1766-1780, April 2024. (自动化学会A刊, 计算实验方法 Part 3)

[8] Min Lu, Shizhan Chen, Xiao Xue*, Xiao Wang, Yufang Zhang, Feiyue Wang. Computational Experiments for Complex Social System Part II: the Evaluation of Computational Model, IEEE Transactions on Computational Social Systems, vol. 9, no. 4, pp. 1224-1236, Aug 2022. (自动化学会A刊, 计算实验方法 Part 2)

[9] Xiao Xue*, Fang-Yi Chen, De-Yu Zhou, Xiao Wang, Min Lu, Fei-Yue Wang. Computational Experiments for Complex Social Systems Part I: The Customization of Computational Model, IEEE Transactions on Computational Social Systems, vol. 9, no. 5, pp. 1330-1344, Oct 2022. (自动化学会A刊, 计算实验方法 Part 1)

[10] Xiao Xue*, Xiangning Yu and Fei-Yue Wang. ChatGPT Chats on Computational Experiments: From Interactive Intelligence to Imaginative Intelligence for Design of Artificial Societies and Optimization of Foundational Models, IEEE/CAA Journal of Automatica Sinica, 2023, 10(6):1357-1360. (CCF T1期刊, 中科院大类1区)

[11] Xiao Xue*, Shufang Wang, Lejun Zhang, Zhiyong Feng, Yaodan Guo. Social Learning Evolution (SLE): Computational Experiment-based Modeling Framework of Social Manufacturing. IEEE Transactions on Industrial Informatics, 2019, 15(6): 3343-3355. (中科院大类1区, Top期刊, AI Society 论文 1)

[12] Deyu Zhou, Xiao Xue*, Zhangbin Zhou. SLE2: The improved Social Learning Evolution Model of Cloud Manufacturing Service Ecosystem, DOI=10.1109/TII.2022.3173053, IEEE Transactions on Industrial Informatics, 2022, 18(12): 9017-9026. (中科院大类1区, Top期刊, AI Society 论文 2)

[13] Deyu Zhou, Xiao Xue*, Xudong Lu, Yuwei Guo, Peilin Ji, Hongtao Lv, Wei He, Yonghui Xu, Qingzhong Li, Lizhen Cui. SLE3：A Hierarchical Model for Complex Adaptive System: From Generative Agent to AI Society, ACM Transactions on Autonomous and Adaptive Systems, https://doi.org/10.1145/3686802, 2024. (CCF B刊, AI Society 论文 3)

( "AI Society & 服务生态"系列文章 )

[1] Xiao Xue*, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, Shizhan Chen. The Research Roadmap of Service Ecosystem: A Crowd Intelligence Perspective, International Journal of Crowd Sciences, 2022, 6(4): 195-222. （服务生态综述论文）

[2] X. Yu, X. Xue*, D. Zhou, G. Wang and Z. Feng, "Unlocking Complexity: Harnessing Value Entropy for Advanced Multidimensional Utility Evaluation in Service Ecosystems," in IEEE Transactions on Services Computing, vol. 18, no. 4, pp. 2456-2470, July-Aug. 2025, doi: 10.1109/TSC.2025.3577481. (CCF A刊)

[3] D. Zhou, Y. Hou, X. Xue*, X. Lu, Q. Li and L. Cui, "Scenario Generator Design Method for Service Ecosystem Governance Driven by LLM-Empowered Agents Simulation," 2025 IEEE International Conference on Web Services (ICWS), Helsinki, Finland, 2025, pp. 552-562, doi: 10.1109/ICWS67624.2025.00077. (CCF B会, 最佳论文, 服务计算Top 1会议)

[4] Zhang, X., Xue, X.*, Xie, X., & Ma, Q. (2026, March). Adaptive Regulation via Dual-Layer Evolution (ARDE): A Multi-Agent Approach to Balancing Efficiency, Fairness, and Diversity in Crowdsourced Platforms. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 40, No. 46, pp. 39620-39627). (CCF A会)

[5] Xiao Xue*, Deyu Zhou, Fangyi Chen, Xiangning Yu, Zhiyong Feng, Yucong Duan, Lin Meng, Mu Zhang. From SOA to VOA: A Shift in Understanding the Operation and Evolution of Service Ecosystem, IEEE Transactions on Services Computing, 2023,16(1): 315 - 329. (ESI高被引论文, CCF A刊, Top期刊)

[6] Xiao Xue*, Yaodan Guo, Shufang Wang, Shizhan Chen. Analysis and Controlling of Manufacturing Service Ecosystem: A research Framework based on the Parallel System Theory. IEEE Transactions on Services Computing, 2021, 14(6): 1598-1611. (CCF A刊, Top期刊)

[7] Xue, X.*, Chen, Z., Wang, S., Feng, Z., Duan, Y., & Zhou, Z. Value Entropy: A Systematic Evaluation Model of Service Ecosystem Evolution. IEEE Transactions on Services Computing, 2022, 15(4):1760-1773. (ESI高被引论文, CCF A刊, Top期刊)

[8] Xiao Xue*, Jiajia Gao, Shuang Wu, Shufang Wang, Zhiyong Feng. Value-Based Analysis Framework of Crossover Service: A Case Study of New Retail in China. IEEE Transactions on Services Computing, 2022, 15(1): 83-96. (CCF A刊, Top期刊)

[9] Xiao Xue*, Hongfang Han, Shufang Wang, and Chengzhi Qin. Computational Experiment-based Evaluation on Context-aware O2O Service Recommendation. IEEE Transactions on Services Computing, 2019, 12(6): 910-924. (CCF A刊, Top期刊)

[10] Deng Zhao, Zhangbing Zhou, Zhipeng Cai, Sami Yangui, Xiao Xue*. ASTL: Accumulative STL with aNovel Robustness letric for IoT Service. IEEE Transactionson Mobile Computing. 2022. DOI: 10.1109/TIC.2022.3179290. (CCF A刊, Top期刊)

[11] Xiao Xue*, Zhaojie Chen, Shizhan Chen, Binjie Li. An integrative multi-dimensional evaluation of Service Ecosystem. 2020 IEEE International Conference on Web Services (ICWS). pp.265-272, 2020. (服务计算Top 1会议, Best Paper Award)