Generative replication and the evolution of complexity
This paper identifies generative replication as a form of replication which has the potential to enhance complexity in social and biological evolution, including the wondrous complexity in the biological world, and complex social institutions such as human language and business corporations. We draw inspiration from the literature on self-reproducing automata to clarify the notion of information transfer in replication processes. To enhance complexity, developmental instructions must be part of the information that is transmitted in replication. In addition to the established triple conditions of causality, similarity and information transfer, a generative replicator involves a conditional generative mechanism that can use signals from an environment and create developmental instructions. We develop a simple model, a one-dimensional linear automaton that is consistent with our four proposed conditions for a generative replicator. We show that evolution within this model will indeed approach maximal complexity, but only if our four proposed conditions are not violated.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Michael D. Cohen & Roger Burkhart & Giovanni Dosi & Massimo Egidi & Luigi Marengo & Massimo Warglien & Sidney Winter & with comments by Benjamin Coriat, 1995.
"Routines and Other Recurring Action Patterns of Organizations: Contemporary Research Issues,"
95-11-101, Santa Fe Institute.
- Cohen, Michael D, et al, 1996. "Routines and Other Recurring Action Patterns of Organizations: Contemporary Research Issues," Industrial and Corporate Change, Oxford University Press, vol. 5(3), pages 653-98.
- Jody Overland & Christopher D. Carroll & David N. Weil, 2000.
"Saving and Growth with Habit Formation,"
American Economic Review,
American Economic Association, vol. 90(3), pages 341-355, June.
- Christopher D. Carroll & Jody Overland & David N. Weil, 1995. "Saving and growth with habit formation," Finance and Economics Discussion Series 95-42, Board of Governors of the Federal Reserve System (U.S.).
- Christopher D. Carroll & Jody Overland & David N. Weil, 2000. "Mathematica code for 'Saving and Growth with Habit Formation' and 'Comparison Utility in a Growth Model'," QM&RBC Codes 43, Quantitative Macroeconomics & Real Business Cycles.
- Geoffrey Hodgson & Thorbjørn Knudsen, 2004. "The firm as an interactor: firms as vehicles for habits and routines," Journal of Evolutionary Economics, Springer, vol. 14(3), pages 281-307, 07.
- Daniel W. McShea, 1996. "Metazoan Complexity and Evolution: Is There a Trend?," Working Papers 96-01-002, Santa Fe Institute.
- Geoffrey Hodgson & Thorbjørn Knudsen, 2006. "Dismantling Lamarckism: why descriptions of socio-economic evolution as Lamarckian are misleading," Journal of Evolutionary Economics, Springer, vol. 16(4), pages 343-366, October.
- Janet A. Weiss, 1982. "Coping with complexity: An experimental study of public policy decision-making," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 2(1), pages 66-87.
- Sidney G. Winter, 1971. "Satisficing, Selection, and the Innovating Remnant," The Quarterly Journal of Economics, Oxford University Press, vol. 85(2), pages 237-261.
When requesting a correction, please mention this item's handle: RePEc:eee:jeborg:v:75:y:2010:i:1:p:12-24. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.