Spontaneous contexts: Explanatory diversity in biological self-assembly

In this paper, I argue that explaining spontaneous phenomena in biology requires multiple types of scientific explanations. First, I contend that explaining spontaneity necessitates citing both topological and nomological features as explanans. Second, I assert that the context-sensitivity of spontaneity complicates mechanistic localization, necessitating the inclusion of functional and network features to account for mechanistic operations. To develop this argument, I present two models of activated self-assembly and their roles in explaining two cases of biological structures: virus capsids and microtubule dynamics. This approach reveals a complex explanatory landscape that spans multiple levels of generality. I term this structure of explanations an "explanatory reservoir."

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Publication Details

Journal
Studies in History and Philosophy of Science Part A
Published
2026-06-17
DOI
https://doi.org/10.1016/j.shpsa.2026.102174
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Spontaneous contexts: Explanatory diversity in biological self-assembly

Sebastian Sander Oest
Studies in History and Philosophy of Science Part A
Modular Robots and Swarm Intelligence
article

Spontaneous contexts: Explanatory diversity in biological self-assembly

Sebastian Sander Oest
article en

Abstract

In this paper, I argue that explaining spontaneous phenomena in biology requires multiple types of scientific explanations. First, I contend that explaining spontaneity necessitates citing both topological and nomological features as explanans. Second, I assert that the context-sensitivity of spontaneity complicates mechanistic localization, necessitating the inclusion of functional and network features to account for mechanistic operations. To develop this argument, I present two models of activated self-assembly and their roles in explaining two cases of biological structures: virus capsids and microtubule dynamics. This approach reveals a complex explanatory landscape that spans multiple levels of generality. I term this structure of explanations an "explanatory reservoir."

Studies in History and Philosophy of Science Part AVol. 118
University of Oslo (NO)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 12%
Modular Robots and Swarm Intelligence
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