Neural networks, AI, and the goals of modeling
Neural networks, AI, and the goals of modeling
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.
Artificial Intelligence, Cognition, Goals, Humans, Intelligence, Neural Networks, Computer
e411
Veit, Walter
8137e8be-a04c-41c6-979e-87fe1a4010be
Browning, Heather
8d13aa04-7648-4403-b29c-11f7674f6618
6 December 2023
Veit, Walter
8137e8be-a04c-41c6-979e-87fe1a4010be
Browning, Heather
8d13aa04-7648-4403-b29c-11f7674f6618
Veit, Walter and Browning, Heather
(2023)
Neural networks, AI, and the goals of modeling.
Behavioral and Brain Sciences, 46, .
(doi:10.1017/S0140525X23001681).
Abstract
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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e-pub ahead of print date: 6 December 2023
Published date: 6 December 2023
Keywords:
Artificial Intelligence, Cognition, Goals, Humans, Intelligence, Neural Networks, Computer
Identifiers
Local EPrints ID: 485565
URI: http://eprints.soton.ac.uk/id/eprint/485565
ISSN: 0140-525X
PURE UUID: b6eac2b7-cae7-4b31-bd39-856a212fa86b
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Date deposited: 11 Dec 2023 17:34
Last modified: 18 Mar 2024 04:08
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Author:
Walter Veit
Author:
Heather Browning
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