MAS approach to political prospection and alliance analysis

Authors

  • Araceli N. PROTO Prof. Ph.D. Laboratorio de Sistemas Complejos, Facultad de Ingenieréa Comision de Investigaciones Cientificas, Universidad de Buenos Aires, Argentina
  • Carmen COSTEA Prof. Ph.D. Faculty of Commerce, ASE Bucharest

Keywords:

Multi Agent Systems, Politic analysis, Behaviour, Socio-economic uncertainty, New paradigms

Abstract

The generalization of the Lotka-Volterra model (GLVM), to the N agents case is used in this contribution. The model is applied to model party alliances before election processes, as well as to prospect the final horizons of different candidates in Argentinian future elections which will take place on October 2011. The parameters of the model are setting using public polls. Romanian polls are used to validate the ansatzabout the meaning of the parameters considering the available data, as this election results are known.

References

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• Weidlich, W., Physics and Social Science – The Approach of Synergetics. Phys. Rep. 204, 1, 199.

• L.F. Caram, C.F. Caiafa, A.N. Proto and M. Ausloos, Physica A, in press and references therein.

• C.F. Acedo, A. Plastino and A.N.Proto, Mass media influence in option strategies, „Journal of Mathematical Sociology”, 23 (1998), 325-335; Noem L. Olivera Araceli N. Proto and Marcel Ausloos NTTS Conference 18-20 February, 2009, Brussels Belgium.

• S.M. Maurer and B.A. Huberman, J. Econom. Dynam. Control 27 (2003) 2195-2206.

• C. F. Caiafa and A. N. Proto, „International Journal on Modern Physics C”, Vol. 17 (2006) 385-394.

• Sondaj de Opinie National, Compania de Cercetare Sociologică şi Branding, iulie 2009, www.ccsb.ro.

• Perfil (newspaper) February 21, 2010, p.5.

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Published

2011-03-30

How to Cite

PROTO, A. N., & COSTEA, C. (2011). MAS approach to political prospection and alliance analysis. Annals of Spiru Haret University. Economic Series, 11(1), 73–80. Retrieved from https://www.anale.spiruharet.ro/economics/article/view/1118

Issue

Vol. 11 No. 1 (2011)

Section

ACADEMIA PAPERS

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