Exploratory modeling and indeterminacy in the search for life

European Journal for Philosophy of Science 12 (2):1-20 (2022)
  Copy   BIBTEX

Abstract

The aim of this article is to use a model from the origin of life studies to provide some depth and detail to our understanding of exploratory models by suggesting that some of these models should be understood as indeterminate. Models that are indeterminate are a type of exploratory model and therefore have extensive potential and can prompt new lines of research. They are distinctive in that, given the current state of scientific understanding, we cannot specify how and where the model will be useful in understanding the natural world: in this case, the origin of life on Earth. The purpose of introducing indeterminacy is to emphasize the epistemic uncertainty associated with modeling, a feature of this practice that has been under emphasized in the literature in favor of attempts to understand the more specific epistemic successes afforded by models.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 101,505

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

On Understanding and Modeling in Evo-Devo.David Cortés-García & Rodrigo Lopez-Orellana - 2019 - In Matthieu Fontaine, Cristina Barés-Gómez, Francisco Salguero-Lamillar, Lorenzo Magnani & Ángel Nepomuceno-Fernández (eds.), Model-Based Reasoning in Science and Technology: Inferential Models for Logic, Language, Cognition and Computation. Springer Verlag.
Models in the Geosciences.Alisa Bokulich & Naomi Oreskes - 2017 - In Magnani Lorenzo & Bertolotti Tommaso Wayne (eds.), Springer Handbook of Model-Based Science. Springer. pp. 891-911.
Understanding from Machine Learning Models.Emily Sullivan - 2022 - British Journal for the Philosophy of Science 73 (1):109-133.
Models and Explanation.Alisa Bokulich - 2017 - In Magnani Lorenzo & Bertolotti Tommaso Wayne (eds.), Springer Handbook of Model-Based Science. Springer. pp. 103-118.
Do ML models represent their targets?Emily Sullivan - forthcoming - Philosophy of Science.
Engineering Model Independence.Zachary Pirtle, Jay Odenbaugh, Andrew Hamilton & Zoe Szajnfarber - 2018 - Techné: Research in Philosophy and Technology 22 (2):191-229.

Analytics

Added to PP
2022-06-08

Downloads
23 (#944,212)

6 months
4 (#1,255,690)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations