EconPapers    
Economics at your fingertips  
 

An adaptive decisional mechanism leading to chaos

Ahmad Naimzada and Marina Pireddu

No 252, Working Papers from University of Milano-Bicocca, Department of Economics

Abstract: In this paper we propose a framework in order to analyze the dynamical process of decision and opinion formation of two economic homogeneous and boundedly rational agents that interact and learn from each other over time. The decisional process described in our model is an adaptive adjustment mechanism in which two agents take into account the difference between their own opinion and the opinion of the other agent. The smaller that difference, the larger the weight given to the comparison of the opinions. We also assume that if the distance between the two opinions is larger than a given threshold, then there is no interaction and the agents do not change their opinion anymore. Introducing an auxiliary variable describing the distance between the opinions, we obtain a one-dimensional map for which we investigate, mainly via analytical tools, the stability of the steady states, their bifurcations, as well as the existence of chaotic dynamics and multistability phenomena, i.e., the presence of coexisting attractors.

Keywords: Adaptive decisional mechanism; bifurcations; multistability; complex dynamics (search for similar items in EconPapers)
JEL-codes: D03 D79 D83 (search for similar items in EconPapers)
Pages: 21
Date: 2013-07, Revised 2013-07
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.dems.unimib.it/repec/pdf/mibwpaper252.pdf First version, 2013 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mib:wpaper:252

Access Statistics for this paper

More papers in Working Papers from University of Milano-Bicocca, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Matteo Pelagatti ().

 
Page updated 2025-03-19
Handle: RePEc:mib:wpaper:252