Universal Darwinism

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Wikipedia

Universal Darwinism, also known as generalized Darwinism, universal selection theory,[1] or Darwinian metaphysics,[2][3][4] is a variety of approaches that extend the theory of Darwinism beyond its original domain of biological evolution on Earth. Universal Darwinism aims to formulate a generalized version of the mechanisms of variation, selection and heredity proposed by Charles Darwin, so that they can apply to explain evolution in a wide variety of other domains, including psychology, linguistics, economics, culture, medicine, computer science, and physics.

Examples of patterns that have been postulated to undergo variation and selection, and thus adaptation, are genes, ideas (memes), theories, technologies, neurons and their connections, words, computer programs, firms, antibodies, institutions, law and judicial systems, quantum states and even whole universes.[5]

History and development

Conceptually, "evolutionary theorizing about cultural, social, and economic phenomena" preceded Darwin,[6] but was still lacking the concept of natural selection.

Starting in the 1950s, Donald T. Campbell was one of the first and most influential authors to revive the tradition, and to formulate a generalized Darwinian algorithm directly applicable to phenomena outside of biology.[7] In this, he was inspired by William Ross Ashby's view of self-organization and intelligence as fundamental processes of selection.[8] His aim was to explain the development of science and other forms of knowledge by focusing on the variation and selection of ideas and theories, thus laying the basis for the domain of evolutionary epistemology. In the 1990s, Campbell's formulation of the mechanism of "blind-variation-and-selective-retention" (BVSR) was further developed and extended to other domains under the labels of "universal selection theory"[9] or "universal selectionism"[10] by his disciples Gary Cziko,[11][12] Mark Bickhard,[13] and Francis Heylighen.[14][15]

Richard Dawkins may have first coined the term "universal Darwinism" in 1983 to describe his conjecture that any possible life forms existing outside the Solar System would evolve by natural selection just as they do on Earth.[16] This conjecture was also presented in 1983 in a paper entitled “The Darwinian Dynamic” that dealt with the evolution of order in living systems and certain nonliving physical systems.[17] It was suggested “that ‘life’, wherever it might exist in the universe, evolves according to the same dynamical law” termed the Darwinian dynamic. Henry Plotkin in his 1997 book[18] on Darwin machines makes the link between universal Darwinism and Campbell's evolutionary epistemology.

The philosopher of mind Daniel Dennett, in his 1995 book Darwin's Dangerous Idea, developed the idea of a Darwinian process, involving variation, selection and retention, as a generic algorithm that is substrate-neutral and could be applied to many fields of knowledge outside of biology. He described the idea of natural selection as a "universal acid" that cannot be contained in any vessel, as it seeps through the walls and spreads ever further, touching and transforming ever more domains. He notes in particular the field of memetics in the social sciences.[19][12]

In agreement with Dennett's prediction, over the past decades the Darwinian perspective has spread ever more widely, in particular across the social sciences as the foundation for numerous schools of study including memetics, evolutionary economics, evolutionary psychology, evolutionary anthropology, neural Darwinism, and evolutionary linguistics.[20] Researchers have postulated Darwinian processes as operating at the foundations of physics, cosmology and chemistry via the theories of quantum Darwinism,[21] observation selection effects and cosmological natural selection.[22][23]

Author D. B. Kelley has formulated one of the most all-encompassing approaches to universal Darwinism. In his 2013 book The Origin of Everything, he holds that natural selection involves not the preservation of favored races in the struggle for life, as shown by Darwin, but the preservation of favored systems in contention for existence. The fundamental mechanism behind all such stability and evolution is therefore what Kelley calls "survival of the fittest systems."[24] Because all systems are cyclical, the Darwinian processes of iteration, variation and selection are operative not only among species but among all natural phenomena both large-scale and small. Kelley thus maintains that, since the Big Bang especially, the universe has evolved from a highly chaotic state to one that is now highly ordered with many stable phenomena, naturally selected.[24]

Gene-based Darwinian extensions

Other Darwinian extensions

  • Quantum Darwinism sees the emergence of classical states in physics as a natural selection of the most stable quantum properties
  • Cosmological natural selection hypothesizes that universes reproduce and are selected for having fundamental constants that maximize "fitness"
  • Complex adaptive systems models the dynamics of complex systems in part on the basis of the variation and selection of its components
  • Evolutionary archaeology is a Darwinian approach to the cultural evolution of tools
  • Evolutionary computation is a Darwinian approach to the generation of adapted computer programs
  • Genetic algorithms, a subset of evolutionary computation, models variation by "genetic" operators (mutation and recombination)
  • Evolutionary robotics applies Darwinian algorithms to the design of autonomous robots
  • Artificial life uses Darwinian algorithms to let organism-like computer agents evolve in a software simulation
  • Evolutionary art uses variation and selection to produce works of art
  • Evolutionary music does the same for works of music
  • Clonal selection theory sees the creation of adapted antibodies in the immune system as a process of variation and selection
  • Neural Darwinism proposes that neurons and their synapses are selectively pruned during brain development
  • Evolutionary epistemology of theories assumes that scientific theories develop through variation and selection
  • Memetics is a theory of the variation, transmission, and selection of cultural items, such as ideas, fashions, and traditions
  • Dual inheritance theory a framework for cultural evolution developed largely independently of memetics
  • Cultural selection theory is a theory of cultural evolution related to memetics
  • Cultural materialism is an anthropological approach that contends that the physical world impacts and sets constraints on human behavior.
  • Environmental determinism is a social science theory that proposes that it is the environment that ultimately determines human culture.
  • Evolutionary economics studies the variation and selection of economic phenomena, such as commodities, technologies, institutions and organizations.[26]
  • Evolutionary ethics investigates the origin of morality, and uses Darwinian foundations to formulate ethical values
  • Big History is the science-based narrative integrating the history of the universe, earth, life, and humanity. Scholars consider Universal Darwinism to be a possible unifying theme for the discipline.[27]

Books

References

  1. ↑ Hodgson, G. M. (2005). "Generalizing Darwinism to social evolution: Some early attempts". Journal of Economic Issues. 39 (4): 899–914. doi:10.1080/00213624.2005.11506859. ISSN 0021-3624. S2CID 12023696.
  2. ↑ von Sydow, M. (2012). From Darwinian Metaphysics towards Understanding the Evolution of Evolutionary Mechanisms. A Historical and Philosophical Analysis of Gene-Darwinism and Universal Darwinism. Universitätsverlag Göttingen.
  3. ↑ von Sydow, M. (2013). Darwinian Metaphysics Archived 2016-03-04 at the Wayback Machine (pp. 1306–1314). In A. Runehov & L. Oviedo (Eds.). Encyclopedia of Sciences and Religions. Heidelberg, New York: Springer Science [doi: 10.1007/978-1-4020-8265-8].
  4. ↑ von Sydow, M. (2014). ‘Survival of the Fittest’ in Darwinian Metaphysics – Tautology or Testable Theory? Archived 2016-03-03 at the Wayback Machine (pp. 199–222) In E. Voigts, B. Schaff &M. Pietrzak-Franger (Eds.). Reflecting on Darwin. Farnham, London: Ashgate.
  5. ↑ Campbell, John (2009). Bayesian Methods and Universal Darwinism. AIP Conf. Proc. 1193, 40, doi:10.1063/1.3275642. 40–47.
  6. ↑ Nelson, Richard R. (January 2007). "Universal Darwinism and evolutionary social science". Biology and Philosophy. 22 (1). Springer Netherlands: 73–94. doi:10.1007/s10539-005-9005-7. ISSN 1572-8404. S2CID 143551363. [...] evolutionary theorizing about cultural, social, and economic phenomena has a long tradition, going back well before Darwin.
  7. ↑ Gontier, N. (2006). Evolutionary Epistemology. Internet Encyclopedia of Philosophy. http://www.iep.utm.edu/evo-epis/
  8. ↑ Campbell, D. T. (1960). Blind variation and selective retention in creative thought as in other knowledge processes. Psychological Review, 67(6), 380–400.
  9. ↑ Campbell, D. T. (1990). Epistemological roles for selection theory. Evolution, cognition, and realism: Studies in evolutionary epistemology, 1–19.
  10. ↑ Hodgson, G. M. (2005). Generalizing Darwinism to social evolution: Some early attempts. Journal of Economic Issues, 899–914.
  11. ↑ Gary Cziko (1995) Without Miracles: Universal Selection Theory and the Second Darwinian Revolution Archived 2012-05-10 at the Wayback Machine (MIT Press)
  12. 1 2 Stoelhorst, J. W. (n.d.). Universal Darwinism from the bottom up: An evolutionary view of socio-economic behavior and organization. Wolfram Elsner and Hardy Hanappi, Advances in Evolutionary Institutional Economics: Evolutionary Modules, Non-Knowledge, and Strategy. Cheltenham: Edward Elgar Publishers.
  13. ↑ Bickhard, M. H., & Campbell, D. T. (2003). Variations in variation and selection: The ubiquity of the variation-and-selective-retention ratchet in emergent organizational complexity Archived 2012-03-16 at the Wayback Machine Foundations of Science, 8(3), 215–282.
  14. ↑ Heylighen, F. (1992). Principles of Systems and Cybernetics: an evolutionary perspective. Cybernetics and Systems' 92. pp. 3–10. CiteSeerX 10.1.1.32.7220.
  15. ↑ Heylighen, F. (1999). "The Growth of Structural and Functional Complexity during Evolution" (PDF). In Heylighen, F.; Bollen, J.; Riegler, A. (eds.). The Evolution of Complexity. Dordrecht: Kluwer Academic. pp. 17–44.
  16. ↑ Dawkins, R. (1983) Universal Darwinism. In: Evolution from molecules to man, ed. D. S. Bendall. Cambridge University Press.
  17. ↑ Bernstein H, Byerly HC, Hopf FA, Michod RA, Vemulapalli GK. (1983) The Darwinian Dynamic. Quarterly Review of Biology 58, 185–207. JSTOR 2828805
  18. ↑ Plotkin, H. C. (1997). Darwin Machines and the Nature of Knowledge. Harvard University Press.
  19. ↑ Dennett, Daniel C. (2005), Darwin's Dangerous Idea, Touchstone Press, New York. pp. 352–360.
  20. ↑ Oudeyer, P.-Y. and Kaplan, F. (2007) Language Evolution as a Darwinian Process: Computational Studies. Cognitive Processing, 8(1):21–35
  21. ↑ Blume-Kohou, Robin and Zurek, Wojciech. (2006). Quantum Darwinism: Entanglement, branches, and the emergent classicality of redundantly stored quantum information, Journal-ref: Phys. Rev. A 73, 062310 (2006)
  22. ↑ Smolin, Lee (1997). The Life of the Cosmos. Oxford University Press
  23. ↑ Smolin, Lee (2008), Scientific Alternatives to the Anthropic Principle, Contribution to "Universe or Multiverse", ed. by Bernard Carr et al., to be published by Cambridge University Press.
  24. 1 2 Kelley, D. B. (2013). The Origin of Everything via Universal Selection, or the Preservation of Favored Systems in Contention for Existence. Newbury, Ohio: Woodhollow Press. p. 371. ISBN 978-0985462505.
  25. ↑ Schleicher, August. Darwinism Tested by the Science of Language. (Transl. by Alexander V. W. Bikkers) London, J. C. Hotten (1869)
  26. ↑ Shiozawa, Y. 2004 Evolutionary Economics in the 21st Century: A Manifesto, Evolutionary and Institutional Economics Review, 1(1): 5–47. Shiozawa, Y. 2020 A new framework for analyzing technological change. Journal of Evolutionray Economics 30: 989–1034.
  27. ↑ Baker, D. The Darwinian Algorithm and a possible candidate for a unifying theme of Big History. http://www.sociostudies.org/almanac/articles/10_500_the_darwinian_algorithm_and_a_possible_candidate_for_a_-unifying_theme-_of_big_histo/