Static-Dynamic Hybridity in Dynamical Models of Cognition
Bibliographic Data
| ID | 10708302 |
|---|---|
| Authors | Nanci Weinberger (0000-0002-4011-5756, Munich School of Philosophy), Colin Allen (0000-0003-4497-1725, corresponding author) |
| Year | 2022 |
| Volume | 89 |
| Issue | 2 |
| Pages | 283-301 |
| Publication date | 2022-04-01 |
| 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.2021.27 |
| OpenAlex | W3137503267 |
| Language | EN |
| References cited | 21 |
Dynamical models of cognition have played a central role in recent cognitive science. In this paper, we consider a common strategy by which dynamical models describe their target systems neither as purely static nor as purely dynamic, but rather using a hybrid approach. This hybridity reveals how dynamical models involve representational choices that are important for understanding the relationship between dynamical and non-dynamical representations of a system
Cognition · Cognitive science · Dynamical system (definition) · Dynamical systems theory · Hybridity · Physics · Sociology · Cognitive Science and Education Research · Computer Science · Embodied and Extended Cognition · Neuroscience · Philosophy and History of Science · Psychology
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| Highly cited | No |
|---|