Neural networks, AI, and the goals of modeling

被引：0
|
作者：
Veit, Walter [1 ]
Browning, Heather [2 ]
机构：
[1] Univ Bristol, Dept Philosophy, Bristol, England
[2] Univ Southampton, Dept Philosophy, Southampton, England
来源：
BEHAVIORAL AND BRAIN SCIENCES | 2023年 / 46卷
基金：
欧洲研究理事会;
关键词：
PERCEPTION; COLOR; ARCHITECTURE; PSYCHOLOGY; BINDING;
D O I：
10.1017/S0140525X23001681
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
Deep neural networks (DNNs) have found many useful applications in recent years. Of particular interest have been those instances where their successes imitate human cognition and many consider artificial intelligences to offer a lens for understanding human intelligence. Here, we criticize the underlying conflation between the predictive and explanatory power of DNNs by examining the goals of modeling.
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页数：77
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