Rational instability in the natural coalition forming

Galina Vinogradova and Serge Galam

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 23, 6025-6040

Abstract: The work aims to investigate a paradigm of instability in coalition forming among countries, using a model inspired from Statistical Physics. The instability is a consequence of decentralized maximization of the individual benefits where contradictory associations into coalitions occur due to independent evolution of pairwise propensity bonds. In contrast to the existing literature we analyze the phenomena within a long horizon rationality of actors. This allows to explore the complex behaviors and phenomena such as instability, infinite cycling and non-optimal stability. Along with the formal implementation, we illustrate the phenomena in a multi-thread simulation created for this aim, and provide analysis of several real cases including the Eurozone.

Keywords: Coalition forming; Statistical Physics; Social models; Social simulation; Political instability; Economical instability (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437113006961
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

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:eee:phsmap:v:392:y:2013:i:23:p:6025-6040

DOI: 10.1016/j.physa.2013.07.065

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().