Feb. 16, 2024, 5:42 a.m. | Philip A. LeMaitre, Marius Krumm, Hans J. Briegel

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.10192v1 Announce Type: new
Abstract: With the impressive progress of deep learning, applications relying on machine learning are increasingly being integrated into daily life. However, most deep learning models have an opaque, oracle-like nature making it difficult to interpret and understand their decisions. This problem led to the development of the field known as eXplainable Artificial Intelligence (XAI). One method in this field known as Projective Simulation (PS) models a chain-of-thought as a random walk of a particle on a …

abstract applications arxiv bias cs.ai cs.dm cs.lg daily decisions deep learning development inductive life machine machine learning making nature oracle physics progress quant-ph simulation type

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