PhilSci Archive

On Universals: An extensionalist alternative to Quine's resemblance theory

Stemmer, Nathan (2005) On Universals: An extensionalist alternative to Quine's resemblance theory. UNSPECIFIED. (Unpublished)

[img] Microsoft Word (.doc)
aaa_Universal_2.doc

Download (182kB)

Abstract

Abstract The notion of similarity plays a central role in Quine's theory of Universals and it is with the help of this notion that Quine intends to define the concept of kind which also plays a central role in the theory. But as Quine has admitted, his attempts to define kinds in terms of similarities were unsuccessful and it is mainly because of this shortcoming that Quine's theory has been ignored by several philosophers. In the present paper, I propose an alternative framework that accounts for the phenomena that Quine intends to explain with his resemblance theory. The framework agrees with Quine's austere ontology; in particular, it does not assume the existence of properties and of possible worlds. Moreover, the framework is extensionalist since the abstract entities it assumes are classes and these can be individuated extensionally. Finally, I will refute some of the objections to Quine's approach that have been raised by Malcolm and Oliver and I will argue that, contrary to what has been claimed, Quine is able to specify an important set of sparse properties.


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

Item Type: Other
Creators:
CreatorsEmailORCID
Stemmer, Nathan
Keywords: Keywords: Universals, resemblance, sparse properties, Armstrong, Lewis, Oliver, Quine, Rodriguez-Pereyra.
Subjects: General Issues > Realism/Anti-realism
General Issues > Logical Positivism/Logical Empiricism
Depositing User: Nathan Stemmer
Date Deposited: 16 Dec 2005
Last Modified: 07 Oct 2010 15:13
Item ID: 2566
Public Domain: No
Subjects: General Issues > Realism/Anti-realism
General Issues > Logical Positivism/Logical Empiricism
Date: December 2005
URI: https://philsci-archive.pitt.edu/id/eprint/2566

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item