Foundation models and intelligent decision-making: Progress, challenges, and perspectives

Foundation models and intelligent decision-making: Progress, challenges, and perspectives

Intelligent decision-making (IDM) is a cornerstone of artificial intelligence (AI) designed to automate or augment decision processes. Modern IDM paradigms integrate advanced frameworks to enable intelligent agents to make effective and adaptive choices and decompose complex tasks into manageable st...

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Main Authors: Jincai Huang, Yongjun Xu, Qi Wang, Qi (Cheems) Wang, Xingxing Liang, Fei Wang, Zhao Zhang, Wei Wei, Boxuan Zhang, Libo Huang, Jingru Chang, Liantao Ma, Ting Ma, Yuxuan Liang, Jie Zhang, Jian Guo, Xuhui Jiang, Xinxin Fan, Zhulin An, Tingting Li, Xuefei Li, Zezhi Shao, Tangwen Qian, Tao Sun, Boyu Diao, Chuanguang Yang, Chenqing Yu, Yiqing Wu, Mengxian Li, Haifeng Zhang, Yongcheng Zeng, Zhicheng Zhang, Zhengqiu Zhu, Yiqin Lv, Aming Li, Xu Chen, Bo An, Wei Xiao, Chenguang Bai, Yuxing Mao, Zhigang Yin, Sheng Gui, Wentao Su, Yinghao Zhu, Junyi Gao, Xinyu He, Yizhou Li, Guangyin Jin, Xiang Ao, Xuehao Zhai, Haoran Tan, Lijun Yun, Hongquan Shi, Jun Li, Changjun Fan, Kuihua Huang, Ewen Harrison, Victor C.M. Leung, Sihang Qiu, Yanjie Dong, Xiaolong Zheng, Gang Wang, Yu Zheng, Yuanzhuo Wang, Jiafeng Guo, Lizhe Wang, Xueqi Cheng, Yaonan Wang, Shanlin Yang, Mengyin Fu, Aiguo Fei
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:The Innovation
Subjects:
artificial intelligence
intelligent decision-making
foundation models
agent
large language model
Online Access:http://www.sciencedirect.com/science/article/pii/S2666675825001511
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