Foundations of Deep Learning. An introduction to the Special Issue

被引:1
|
作者
Colombo, Matteo
Ritchie, J. Brendan
机构
来源
关键词
Philosophical and methodological foundations; of deep learning; Testability; Explanatory power; Explainable AI; Reasoning in AI; Language processing and understanding in AI; Computational modeling in neuroscience; NEURAL-NETWORKS;
D O I
10.1016/j.cogsys.2024.101246
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Deep learning approaches to mind, brain, and behavior raise new philosophical and methodological questions about the nature of artificial intelligence (AI) and its relationship to biological cognitive systems. The articles in this Special Issue combine insights, results and methodologies from philosophy, psychology, AI, neuroscience, linguistics, and cognitive science more generally, to explore some of those questions, including the relation between deep learning models and the brain, the testability, transparency and explanatory power of deep learning models, and their abilities for inductive reasoning, language processing and semantic understanding. By engaging with these foundational questions, the Special Issue as a whole contributes to illuminate deep learning, illustrating the need for, and fruitfulness of, interdisciplinary perspectives in cognitive systems research.
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页数:4
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