Minds and Machines

, Volume 18, Issue 4, pp 431–442 | Cite as

Synchronic and Diachronic Emergence

Article

Abstract

I discuss here a number of different kinds of diachronic emergence, noting that they differ in important ways from synchronic conceptions. I argue that Bedau’s weak emergence has an essentially historical aspect, in that there can be two indistinguishable states, one of which is weakly emergent, the other of which is not. As a consequence, weak emergence is about tokens, not types, of states. I conclude by examining the question of whether the concept of weak emergence is too weak and note that there is at present no unifying account of diachronic and synchronic concepts of emergence.

Keywords

Weak emergence Supervenience Pattern emergence Cellular automaton Randomness 

Notes

Acknowledgements

Thanks to Anouk Barberousse, Mark Bedau, Jean-Paul Delahaye, Jacques Dubucs, Serge Galam, Philippe Huneman, Cyrille Imbert, and Sara Franceschelli for helpful discussions on this topic. Thanks also to audiences at the June 2004 IHPST conference on the dynamics of emergence, Yale University, the April 2005 Rutgers philosophy of physics conference, and the 2005 APA Central Division meetings for pushing me to present some of the points more clearly.

References

  1. Batterman, R. (2002). The devil in the details. New York: Oxford University Press.MATHGoogle Scholar
  2. Bedau, M. (1997). Weak emergence. In J. Tomberlin (Ed.), Philosophical perspectives: Mind, causation, and world (Vol. 11, pp. 375–399). Malden: Blackwell.Google Scholar
  3. Bedau, M. (2003). Downward causation and the autonomy of weak emergence. Principia Revista Internacional de Epistemologica, 6, 5–50.Google Scholar
  4. Dennett, D. (1991). Real Patterns. Journal of Philosophy, 27–51.Google Scholar
  5. Humphreys, P. (2006): Emergence. In The Encyclopedia of Philosophy (2nd ed.). London: MacMillan.Google Scholar
  6. Imbert, C. (2007). Why diachronically emergent properties must also be salient. In C. Gershenson, D. Aerts, & B. Edmonds (Eds.), Worldviews, science, and us: Philosophy and complexity (pp. 99–116). Singapore: World Scientific.Google Scholar
  7. Li, M., Chen, X., Li, X., Ma, B., & Vitanyi, P. M. B. (2004). The similarity metric. IEEE Transactions on Information Theory, 50, 3250–3264.CrossRefMathSciNetGoogle Scholar
  8. McLaughlin, B. (1997). Emergence and supervenience. Intellectica, 25, 25–43.Google Scholar
  9. Rueger, A. (2000a). Physical emergence diachronic and synchronic. Synthese, 124, 297–322.MATHCrossRefMathSciNetGoogle Scholar
  10. Rueger, A. (2000b). Robust supervenience and emergence. Philosophy of Science, 67, 466–489.CrossRefMathSciNetGoogle Scholar
  11. Strogatz, S. (1994). Nonlinear dynamics and chaos. Reading, MA: Addison-Wesley.Google Scholar
  12. van Cleve, J. (1990). Mind-dust or magic? Panpsychism versus emergentism. Philosophical Perspectives, 4, 215–226.CrossRefGoogle Scholar
  13. Wimsatt, W. (1994). The ontology of complex systems. In M. Matthen & R. Ware (Eds.), Canadian Journal of Philosophy, Supplementary Volume (Vol. 20, pp. 207–274). Canada: University of Calgary Press.Google Scholar
  14. Wimsatt, W. (2007). Emergence as non-aggregativity and the biases of reductionisms. In Re-engineering philosophy for limited beings: Piecewise approximations to reality (pp. 274–312) Cambridge (Mass): Harvard University Press.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2008

Authors and Affiliations

  1. 1.Department of PhilosophyUniversity of VirginiaCharlottesvilleUSA

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