Abstract
This comment contrasts the axiomatic treatment of transitions in Operator Theory with the more inductive and descriptive treatment of transitions in Major Evolutionary Transitions Theory. I conclude that Operator Theory demonstrates the need for, and the possibility of, a much finer-grained analysis of major transitions than Major Evolutionary Transitions Theory currently offers.
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References
Dennett DC (1995) Darwin’s dangerous idea: evolution and the meanings of life. Penguin, London
Godfrey-Smith P (2009) Darwinian populations and natural selection. Oxford University Press, Oxford
Maynard Smith J, Szathmary E (1995) The major transitions in evolution. Oxford University Press, Oxford
Stoelhorst JW (2005) The naturalist view of universal Darwinism: an application to the evolutionary theory of the firm. In: Finch J, Orillard M (eds) Complexity and the economy. Edward Elgar, Cheltenham, pp 127–147
Stoelhorst JW (2008) The explanatory logic and ontological commitments of generalized Darwinism. J Econ Methodol 15(4):343–363
Stoelhorst JW, Richerson PJ (2013) A naturalistic theory of economic organization. J Econ Behav Organ 90(Suppl):S45–S56
Szathmáry E (2015) Toward major evolutionary transitions theory 2.0. Proc Natl Acad Sci 112(33):10104–10111
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Stoelhorst, JW. (2016). Major Transitions, Operator Theory, and Human Organization. In: Jagers op Akkerhuis, G. (eds) Evolution and Transitions in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-43802-3_11
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DOI: https://doi.org/10.1007/978-3-319-43802-3_11
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