Between mechanical clocks and emergent flocks: complexities in biology

Author:

Gross FridolinORCID

Abstract

AbstractEven though complexity is a concept that is ubiquitously used by biologists and philosophers of biology, it is rarely made precise. I argue that a clarification of the concept is neither trivial nor unachievable, and I propose a unifying framework based on the technical notion of “effective complexity” that allows me to do justice to conflicting intuitions about biological complexity, while taking into account several distinctions in the usage of the concept that are often overlooked. In particular, I propose a distinction between two kinds of complexity, “mechanical” and “emergent”, which can be understood as different ways of relating the effective complexity of mechanisms and of behaviors in biological explanations. I illustrate the adequacy of this framework by discussing different attempts to understand intracellular organization in terms of pathways and networks. My framework provides a different way of thinking about recent philosophical debates, for example, on the difference between mechanistic and topological explanations and about the concept of emergence. Moreover, it can contribute to a proper assessment of metascientific arguments that invoke biological complexity.

Publisher

Springer Science and Business Media LLC

Subject

General Social Sciences,Philosophy

Reference60 articles.

1. Adami, C. (2002). What is complexity? BioEssays, 24(12), 1085–1094. https://doi.org/10.1002/bies.10192.

2. Alberts, B., Johnson, A., Lewis, J., Morgan, D., Raff, M., Roberts, K., & Walter, P. (2015). Molecular biology of the cell (5th ed.). Garland Science.

3. Alon, U. (2020). An introduction to systems biology: Design principles of biological circuits (2nd ed.). CRC Press.

4. Badii, R., & Politi, A. (1999). Complexity: Hierarchical structures and scaling in physics. Cambridge University Press.

5. Bailly, F., & Longo, G. (2003). Objective and epistemic complexity in biology. In N. Singh (Ed.), Proceedings of the international conference on theoretical neurobiology (pp. 62–79). National Brain Research Centre.

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