Pain, Ross and Mann, Stephen Francis (2024) Teleosemantics, Structural Resemblance and Predictive Processing. [Preprint]
|
Text
Proofs.pdf Download (1MB) | Preview |
Abstract
We propose a pluralist account of content for predictive processing systems. Our pluralism combines Millikan’s teleosemantics with existing structural resemblance
accounts. The paper has two goals. First, we outline how a teleosemantic treatment of signal passing in predictive processing systems would work, and how it integrates with
structural resemblance accounts. We show that the core explanatory motivations and conceptual machinery of teleosemantics and predictive processing mesh together well.
Second, we argue this pluralist approach expands the range of empirical cases to which the predictive processing framework might be successfully applied. This
because our pluralism is practice-oriented. A range of different notions of content are used in the cognitive sciences to explain behaviour, and some of these cases look to employ teleosemantic notions. As a result, our pluralism gives predictive processing the scope to cover these cases.
| Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
| Social Networking: |
| Item Type: | Preprint | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Creators: |
|
|||||||||
| Keywords: | Predictive processing; representation; teleosemantics; structural resemblance; pluralism | |||||||||
| Subjects: | Specific Sciences > Cognitive Science > Action Specific Sciences > Neuroscience > Cognitive Neuroscience Specific Sciences > Cognitive Science > Concepts and Representations Specific Sciences > Cognitive Science > Perception |
|||||||||
| Depositing User: | Dr Ross Pain | |||||||||
| Date Deposited: | 16 May 2024 10:54 | |||||||||
| Last Modified: | 16 May 2024 10:54 | |||||||||
| Item ID: | 23440 | |||||||||
| Subjects: | Specific Sciences > Cognitive Science > Action Specific Sciences > Neuroscience > Cognitive Neuroscience Specific Sciences > Cognitive Science > Concepts and Representations Specific Sciences > Cognitive Science > Perception |
|||||||||
| Date: | 2024 | |||||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/23440 |
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[feed]](http://philsci-archive.pitt.edu/style/images/feed-icon-32x32.png){kind=icon}