Abstract
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.
Original language | English |
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Article number | 101246 |
Number of pages | 4 |
Journal | Cognitive Systems Research |
Volume | 87 |
Early online date | Jul 2024 |
DOIs | |
Publication status | Published - Sept 2024 |
Keywords
- Computational modeling in neuroscience
- Explainable AI
- Explanatory power
- Language processing and understanding in AI
- Philosophical and methodological foundations
- Reasoning in AI
- Testability
- Of deep learning