Gładziejewski, Paweł (2021) Un-debunking ordinary objects with the help of predictive processing. [Preprint]
This is the latest version of this item.
|
Text
PG_Undebunking ordinary objects.pdf Download (421kB) | Preview |
Abstract
Debunking arguments aim to undermine common sense beliefs by showing that they are not explanatorily or causally linked to the entities they are purportedly about. Rarely are facts about the etiology of common sense beliefs invoked for the opposite aim, that is, to support the reality of entities that furnish our manifest image of the world. Here I undertake this sort of un-debunking project. My focus is on the metaphysics of ordinary physical objects. I use the view of perception as approximate Bayesian inference to show how representations of ordinary objects can be extracted from sensory input in a rational and truth-tracking manner. Drawing an analogy between perception construed as Bayesian hypothesis testing and scientific inquiry, I sketch out how some of the intuitions that traditionally inspired arguments for scientific realism also find application with regards to proverbial tables and chairs.
| Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
| Social Networking: |
| Item Type: | Preprint | ||||||
|---|---|---|---|---|---|---|---|
| Creators: |
|
||||||
| Additional Information: | Forthcoming in British Journal for the Philosophy of Science | ||||||
| Keywords: | debunking arguments; Predictive Processing; ordinary objects; realism; Bayesian perception | ||||||
| Subjects: | Specific Sciences > Cognitive Science > Perception General Issues > Realism/Anti-realism |
||||||
| Depositing User: | Dr. Paweł Gładziejewski | ||||||
| Date Deposited: | 17 Jul 2021 03:44 | ||||||
| Last Modified: | 17 Jul 2021 03:44 | ||||||
| Item ID: | 19323 | ||||||
| Subjects: | Specific Sciences > Cognitive Science > Perception General Issues > Realism/Anti-realism |
||||||
| Date: | 2021 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/19323 |
Available Versions of this Item
-
Un-debunking ordinary objects with the help of predictive processing. (deposited 30 Mar 2021 01:12)
- Un-debunking ordinary objects with the help of predictive processing. (deposited 17 Jul 2021 03:44) [Currently Displayed]
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}