Learning to Be Thoughtless: Social Norms and Individual Computation
AbstractThis paper extends the literature on the evolution of norms with an agent-based model capturing a phenomenon that has been essentially ignored, namely that individual thought--or computing--is often inversely related to the strength of a social norm. Once a norm is entrenched, we conform thoughtlessly. In this model, agents learn how to behave (what norm to adopt), but--under a strategy I term Best Reply to Adaptive Sample Evidence--they also learn how much to think about how to behave. How much they are thinking affects how they behave, which--given how others behave--affects how much they think. In short, there is feedback between the social (inter-agent) and internal (intra-agent) dynamics. In addition, we generate the stylized facts regarding the spatio-temporal evolution of norms: local conformity, global diversity, and punctuated equilibria. Copyright 2001 by Kluwer Academic Publishers
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.
Bibliographic InfoArticle provided by Society for Computational Economics in its journal Computational Economics.
Volume (Year): 18 (2001)
Issue (Month): 1 (August)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Efe Postalci, 2010. "Learning by observing," Working Papers 1007, Izmir University of Economics.
- Leigh Tesfatsion, 2002. "Agent-Based Computational Economics," Computational Economics 0203001, EconWPA, revised 15 Aug 2002.
- Francesco C. Billari & Alexia Prskawetz & Johannes Fürnkranz, 2002. "The cultural evolution of age-at-marriage norms," MPIDR Working Papers WP-2002-018, Max Planck Institute for Demographic Research, Rostock, Germany.
- Yves Saillard, 2004. "L'analyse économique des normes : représentation et traitement des interactions dans les modèles de simulation," Post-Print halshs-00104866, HAL.
- Amy Peng & Francis McKenna, 2009. "Evolution of the Week," Working Papers 012, Ryerson University, Department of Economics.
- Mary Burke & Gary Fournier, 2005.
"The Emergence of Local Norms in Networks,"
Computing in Economics and Finance 2005
299, Society for Computational Economics.
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.