Hume’s Externalist Gambit
Bibliographic Data
| ID | 10705109 |
|---|---|
| Authors | Hayley Clatterbuck (0000-0003-3041-8232, University of Wisconsin–Madison, corresponding author) |
| Year | 2024 |
| Volume | 91 |
| Issue | 5 |
| Pages | 1296-1305 |
| Publication date | 2024-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0031-8248 • E-ISSN: 1539-767X |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/psa.2023.139 |
| OpenAlex | W4387816504 |
| Language | EN |
| Citations received | 1 |
| References cited | 13 |
I examine three arguments that purport to show that connectionist, associationist architectures cannot achieve key features of human thought. Hume anticipated each of these three arguments and provided a unified strategy for responding to each, the “externalist gambit.” On this account, external natural language provides the necessary structure for associationist systems to achieve those features of thought that their opponents take them to lack. The externalist gambit provides a promising avenue for today’s defenders of connectionism about the human mind
Artificial neural network · Cognitive science · Connectionism · Epistemology · Externalism · Gambit · Internalism and externalism · Key (lock) · Artificial Intelligence · Computer Science · Epistemology, Ethics, and Metaphysics · Philosophy · Philosophy and History of Science · Psychology · Psychology of Moral and Emotional Judgment
Connectionism and cognitive architecture
Mastering the game of Go without human knowledge
Words as Invitations to Form Categories
Language is not Just for Talking
Darwin, Hume, Morgan, and the verae causae of psychology
Empiricism without magic
You Don't Know How You Think
Deep learning
From Deep Learning to Rational Machines
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |