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Accelerated experimental design using a human-AI teaming framework

delete2025-04-01
delete0
PRE
AI
A
Arun Kumar A V *
A
Alistair Shilton
S
Sunil Gupta
S
Shannon Ryan
M
Majid Abdolshah
R
Rana, Santu
B
Berk, Julian
R
Rashid, Mahad
V
Venkatesh, Svetha
DOI：10.1016/j.knosys.2025.113138delete
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摘要

摘要

En 中文
本文提出了一种用于优化昂贵黑箱函数的人机协同框架。受提取专家知识并将其融入AI模型的内在难度以及真实实验设计中人类行为观察的启发，我们提出的算法使人类专家主导实验过程。人类专家可以充分利用其领域专业知识，而AI则扮演缪斯的角色，注入新颖性并寻找薄弱环节，以打破由认知固化引发的人类过度开发。我们使用合成数据以及由人类专家执行的真实实验来验证所提出的算法。
Keyword:
Machine learning
Experimental design
Sample-efficiency
Gaussian process
Bayesian optimization
Human-AI teaming

期刊

K
Knowledge-Based Systems
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

暂无机构信息
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