PhilSci Archive

Representations are Rate-Distortion Sweet Spots

Martínez, Manolo (2018) Representations are Rate-Distortion Sweet Spots. In: UNSPECIFIED.

WarningThere is a more recent version of this item available.
[img]
Preview
Text
paper_psa.pdf

Download (154kB) | Preview

Abstract

Information is widely perceived as essential to the study of
communication and representation; still, theorists working on these topics often take themselves not to be centrally concerned with "Shannon information", as it is often put, but with some other, sometimes called "semantic" or "nonnatural",kind of information. This perception is wrong. Shannon's theory of information is the only one we need.

I intend to make good on this last assertion by canvassing a fully (Shannon) informational answer to the metasemantic question of what makes something a representation, for a certain important family of cases. This answer and the
accompanying theory, which represents a significant departure from the broadly Dretskean philosophical mainstream, will show how a number of threads in the
literature on naturalistic metasemantics, aimed at describing the purportedly non-informational ingredients in representation, actually belong in the same coherent, purely information-theoretic picture.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Martínez, Manolomail@manolomartinez.net0000-0002-6194-7121
Keywords: Information theory Representation Shannon Dretske Rate-Distortion theory
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Computation/Information
Depositing User: Dr. Manolo Martínez
Date Deposited: 15 Jul 2018 23:06
Last Modified: 15 Jul 2018 23:06
Item ID: 14873
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Computation/Information
Date: 2018
URI: https://philsci-archive.pitt.edu/id/eprint/14873

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item