Where do inductive biases come from? A Bayesian investigation

该项目旨在使用最先进的数学模型和复杂的实验设计来研究我们的思维和学习偏见的起源。预期成果包括通过将数学建模与实验工作相结合，弥合人类和机器学习之间的差距，从而朝着开发能够像人类一样推理的机器系统迈出必要的一步。 这将带来巨大的好处，比如理解人们如何在真实的环境中如此有效地运作，即使是最强大的计算机也难以处理日常学习问题的复杂性。

This project aims to investigate the origin of our thinking and learning biases using state-of-the-art mathematical models and sophisticated experimental designs. Expected outcomes include bridging the gap between human and machine learning by pairing mathematical modelling with experimental work, forming a necessary step toward the development of machine systems that can reason like people do. This will provide significant benefits such as understanding how people operate so effectively in real environments, when even the most powerful computers struggle to handle the complexities of everyday learning problems.