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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:46 |
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| Enthalten in: |
The Behavioral and brain sciences - 46(2023) vom: 06. Dez., Seite e411 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Veit, Walter [VerfasserIn] |
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| Themen: |
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| Anmerkungen: |
Date Completed 07.12.2023 Date Revised 07.12.2023 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1017/S0140525X23001681 |
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| 520 | |a 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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