PhilSci Archive

Moving Targets and Models of Nothing: A New Sense of Abstraction for Philosophy of Science

Stuart, Michael T. and Kozlov, Anatolii (2024) Moving Targets and Models of Nothing: A New Sense of Abstraction for Philosophy of Science. [Preprint]

[img]
Preview
Text
Stuart and Kozlov 2024 - Moving Targets and Models of Nothing.pdf

Download (458kB) | Preview

Abstract

As Nelson Goodman highlighted, there are two main senses of “abstract” that can be found in discussions about abstract art. On the one hand, a representation is abstract if it leaves out certain features of its target. On the other hand, something can be abstract to the extent that it does not represent a concrete subject. The first sense of “abstract” is well-known in philosophy of science. For example, philosophers discuss mathematical models of physical, biological, and economic systems as being abstract in this sense. However, it is the second sense that dominates discussions of abstract art in aesthetics. For example, abstract art was (and is) considered revolutionary precisely for being non-figurative. Through an analysis of artists including Kandinsky, Malevich, and Mondrian, we develop a reading of this second sense, which we call “generative abstraction,” as opposed to “subtractive” abstraction. Generative abstraction is a process in which a new artifact is created which does not represent the initial concrete target system that inspired it (if there was one), where the artifact’s features are explored for their own sake, and where the “language” of the new artifact is in some way more “universal.” Focusing on this sense of abstraction is helpful in revealing the complexity of the process of crafting an abstract artifact, in problematizing the notion that abstraction can always be un-done (or concretized), as well as revealing new ways for abstractions to be epistemically (un)successful.


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

Item Type: Preprint
Creators:
CreatorsEmailORCID
Stuart, Michael T.mike.stuart.post@gmail.com0000-0002-4165-2641
Kozlov, Anatoliianatolii.kozlov@outlook.com0000-0003-0504-809X
Additional Information: To appear in Julia Sánchez-Dorado and Chiara Ambrosio (eds.). Understanding through Abstraction in Science and Art. London: Routledge.
Keywords: abstraction, model, modeling, modelling, representation, idealization, de-idealization, aesthetics
Subjects: Specific Sciences > Biology
General Issues > Computer Simulation
General Issues > Experimentation
General Issues > Explanation
General Issues > History of Philosophy of Science
General Issues > History of Science Case Studies
General Issues > Models and Idealization
Specific Sciences > Neuroscience
General Issues > Social Epistemology of Science
Depositing User: Michael T. Stuart
Date Deposited: 01 Mar 2024 03:49
Last Modified: 01 Mar 2024 03:49
Item ID: 23144
Subjects: Specific Sciences > Biology
General Issues > Computer Simulation
General Issues > Experimentation
General Issues > Explanation
General Issues > History of Philosophy of Science
General Issues > History of Science Case Studies
General Issues > Models and Idealization
Specific Sciences > Neuroscience
General Issues > Social Epistemology of Science
Date: 2024
URI: https://philsci-archive.pitt.edu/id/eprint/23144

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item