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

IF 25.7 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

The Innovation Pub Date : 2025-05-12 eCollection Date: 2025-06-02 DOI:10.1016/j.xinn.2025.100948

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

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引用次数: 0

Abstract

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 steps, such as AI agents and high-level reinforcement learning. Recent advances in multimodal foundation-based approaches unify diverse input modalities-such as vision, language, and sensory data-into a cohesive decision-making process. Foundation models (FMs) have become pivotal in science and industry, transforming decision-making and research capabilities. Their large-scale, multimodal data-processing abilities foster adaptability and interdisciplinary breakthroughs across fields such as healthcare, life sciences, and education. This survey examines IDM's evolution, advanced paradigms with FMs and their transformative impact on decision-making across diverse scientific and industrial domains, highlighting the challenges and opportunities in building efficient, adaptive, and ethical decision systems.

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基础模型和智能决策：进展、挑战和前景。

智能决策（IDM）是人工智能（AI）的基石，旨在自动化或增强决策过程。现代IDM范例集成了先进的框架，使智能代理能够做出有效和自适应的选择，并将复杂的任务分解为可管理的步骤，例如AI代理和高级强化学习。基于多模态基础的方法的最新进展将不同的输入模式（如视觉、语言和感官数据）统一到一个有凝聚力的决策过程中。基础模型（FMs）已经成为科学和工业的关键，改变了决策和研究能力。它们的大规模、多模式数据处理能力促进了医疗保健、生命科学和教育等领域的适应性和跨学科突破。本调查考察了IDM的演变、FMs的先进范式及其对不同科学和工业领域决策的变革性影响，强调了建立高效、适应性和道德决策系统的挑战和机遇。

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来源期刊

The Innovation MULTIDISCIPLINARY SCIENCES-

CiteScore

38.30

自引率

1.20%

发文量

134

审稿时长

6 weeks

期刊介绍： The Innovation is an interdisciplinary journal that aims to promote scientific application. It publishes cutting-edge research and high-quality reviews in various scientific disciplines, including physics, chemistry, materials, nanotechnology, biology, translational medicine, geoscience, and engineering. The journal adheres to the peer review and publishing standards of Cell Press journals. The Innovation is committed to serving scientists and the public. It aims to publish significant advances promptly and provides a transparent exchange platform. The journal also strives to efficiently promote the translation from scientific discovery to technological achievements and rapidly disseminate scientific findings worldwide. Indexed in the following databases, The Innovation has visibility in Scopus, Directory of Open Access Journals (DOAJ), Web of Science, Emerging Sources Citation Index (ESCI), PubMed Central, Compendex (previously Ei index), INSPEC, and CABI A&I.