Scientific Models, Connectionist Networks, and Cognitive Science
Bibliographic Data
| ID | 20401121 |
|---|---|
| Authors | Christopher D Green (0000-0002-6027-6709, York University, corresponding author) |
| Year | 2001 |
| Volume | 11 |
| Issue | 1 |
| Pages | 97-117 |
| Publication date | 2001-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Theory & Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0959-3543 • E-ISSN: 1461-7447 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/0959354301111008 |
| OpenAlex | W2084095376 |
| Language | EN |
| References cited | 21 |
The employment of a particular class of computer programs known as `connectionist networks' to model mental processes is a wide-spread approach to research in cognitive science these days. Little has been written, however, on the precise connection that is thought to hold between such programs and actual in vivo cognitive processes such that the former can be said to `model' the latter in a scientific sense. What is more, this relation can be shown to be problematic. In this paper I give a brief overview of the use of connectionist models in cognitive science, and then explore some of the statements connectionists have made about the nature of the `modeling relation' thought to hold between them and cognitive processes. Finally, I show that these accounts are inadequate and that more work is necessary if connectionist networks are to be seriously regarded as scientific models of cognitive processes
Artificial neural network · Cognition · Cognitive model · Cognitive science · Connectionism · Epistemology · Scientific modelling · Cognitive Science and Mapping · Computer Science · Embodied and Extended Cognition · Neuroscience · Philosophy and History of Science · Psychology · Artificial Intelligence
A neurocomputational perspective
How the Laws of Physics Lie
Computational Philosophy of Science
Connectionism and cognitive architecture
On the proper treatment of connectionism
Naming and Necessity
Retrieval time from semantic memory
Minds, brains, and programs
I.—computing Machinery and Intelligence
Matter and Consciousness
A comparison of the meaning and uses of models in mathematics and the empirical sciences
Galilean idealization
Thoughts
| Highly cited | No |
|---|