Complex landscapes of spatial interaction
AbstractHow complex is the spatial economy? Some apostles of complexity argue that complex behaviour can arise in any system consisting of a largish number of intelligent, adaptive agents interacting on the basis of local information only. This paper examines several features of such dynamic systems, including path-dependence, emergence and self-organization. It goes on to explore their importance for the spatial sciences. Because space scales can change abruptly from local to global, strongly-interactive spatial economies sometimes exhibit astonishing collective properties, emergent features which are lawful in their own right. Segregation, self-similarity and the rank-size rule are familiar examples. To understand how collective order arises from seemingly random fluctuations, we must note how agents choose to interact with other agents and with their environment. We must synthesize rather than analyse. In the paper, self-organization is explored in a variety of contexts, including Schelling's model of neighborhood segregation and some work with cellular automata that has sharpened our insights into the collective synthesis of agents' interactions. Power laws are widely observed. A new way of doing social science - agent-based simulation - offers powerful new insights. It seems likely to revolutionize our field, along with the whole of the social sciences. Some of the current research underway in this area is discussed. "Truth is much too complicated to allow anything but approximations." John von Neumann
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Springer in its journal The Annals of Regional Science.
Volume (Year): 35 (2001)
Issue (Month): 1 ()
Note: Received: February 1999/Accepted: January 2000
Contact details of provider:
Web page: http://link.springer.de/link/service/journals/00168/index.htm
More information through EDIRC
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Wolfram Elsner, 2010. "The process and a simple logic of ‘meso’. Emergence and the co-evolution of institutions and group size," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 445-477, June.
- Ron Martin & Peter Sunley, 2007.
"Complexity thinking and evolutionary economic geography,"
Journal of Economic Geography,
Oxford University Press, vol. 7(5), pages 573-601, September.
- Ron Martin & Peter Sunley, 2007. "Complexity Thinking and Evolutionary Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 0703, Utrecht University, Section of Economic Geography, revised Apr 2007.
- Elsner, Wolfram & Heinrich, Torsten, 2009. "A simple theory of 'meso'. On the co-evolution of institutions and platform size--With an application to varieties of capitalism and 'medium-sized' countries," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(5), pages 843-858, October.
- Juan Miguel Benito & Penélope Hernández, 2007. "Modelling Segregation Through Cellular Automata: A Theoretical Answer," Working Papers. Serie AD 2007-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- He, Zheng & Rayman-Bacchus, Lez & Wu, Yiming, 2011. "Self-organization of industrial clustering in a transition economy: A proposed framework and case study evidence from China," Research Policy, Elsevier, vol. 40(9), pages 1280-1294.
- Boschma, Ron & Frenken, Koen, 2002. "Why is economic geography an evolutionary science?," ERSA conference papers ersa02p320, European Regional Science Association.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.