Skip to main content

Chaos in World Politics: A Reflection

The “Drop of Honey Effect”

  • Chapter
  • First Online:
Chaos Theory in Politics

Abstract

Chaos theory results from natural scientists’ findings in the area of non-linear dynamics. The importance of related models has increased in the last decades, by studying the temporal evolution of non-linear systems. In consequence, chaos is one of the concepts that most rapidly have been expanded in what research topics respects. Considering that relationships in non-linear systems are unstable, chaos theory aims to understand and to explain this kind of unpredictable aspects of nature, social life, the uncertainties, the nonlinearities, the disorders and confusion, scientifically it represents a disarray connection, but basically it involves much more than that. The existing close relationship between change and time seems essential to understand what happens in the basics of chaos theory. In fact, this theory got a crucial role in the explanation of many phenomena. The relevance of this kind of theories has been well recognized to explain social phenomena and has permitted new advances in the study of social systems. Chaos theory has also been applied, particularly in the context of politics, in this area. The goal of this chapter is to make a reflection on chaos theory – and dynamical systems such as the theories of complexity – in terms of the interpretation of political issues, considering some kind of events in the political context and also considering the macro-strategic ideas of states positioning in the international stage.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Nonlinear means that output is not directly proportional to input, or that a change in one variable does not produce a proportional change or reaction in the related variable(s). See [27, 28] for an interesting exploitation of this concept in management.

  2. 2.

    Examples are the occurrence of earthquakes, rainstorms or volcanic eruptions.

  3. 3.

    Examples are air temperature and humidity or the flow of water in perennial rivers.

  4. 4.

    For example, we may measure air temperature only once per hour, over many days or years.

  5. 5.

    For some authors (see [3]), a flow is a system of differential equations. For others (see [45]), a flow is the solution of differential equations. Note that for the Navier–Stokes equations, that describe the motion of fluid substances, surprisingly, given their wide range of practical uses, mathematicians have not yet proven that in three dimensions solutions always exist, or that if they do exist, then they do not contain any singularity.

  6. 6.

    Nonlinear means that output is not directly proportional to input, or that a change in one variable does not produce a proportional change or reaction in the related variable(s).

  7. 7.

    The spontaneous and mass revolution in Iran is considered a massive rupture of chaotic uncertainties and bifurcations into unpredictable dynamical changes in a political system.

  8. 8.

    The scenarios for the future could be based on chaotic uncertainties and bifurcations resulting into unpredictable dynamic changes in the political system.

  9. 9.

    A single man was considered the “butterfly wing” that could cause the German system to bifurcate from democracy to totalitarianism.

  10. 10.

    The tragic event of 11st September in New York brought a chaotic uncertainty to the international political and military arena.

  11. 11.

    The Macedonian Alexander, endowed with great political vision, has created one of the largest empires of the ancient world, unifying the Greek state-cities and mastering the whole Eastern Antique World, with huge consequences for Humanity.

  12. 12.

    A military victory of the Chinese dynasty Han around the year 100 over a Mongolian tribe of the North (Xiongnu tribe) can be considered as the beating of the “butterfly wings” for the tragedies that would occur in medieval Europe. Indeed, the arrival of Attila and his Hunnish Army to the north of the Black Sea in the fourth century may well have been the consequence of that victory in China. This arrival would promote events with long lasting destructive effects in Europe in the middle ages. The Alliance between German and Asian tribes led to invasions and destruction throughout Europe and North Africa. It was the “butterfly effect” working.

  13. 13.

    The discovery of gunpowder in China may have been the initial condition for Europe leaving of the tragic situation in which it was emerged, particularly through its military expansion to the Americas, with the known consequences.

  14. 14.

    On a warm afternoon, on the second floor of a splendid palace that overlooked the market place of the city, sat a king and his minister. While the king was eating some puffed rice on honey, he looked over his land with satisfaction. What a prosperous city he ruled. What a magnificent city.

    As he was daydreaming, a little drop of honey dripped from his puffed rice onto the window ledge.

    The minister was about to call a servant to wipe up the honey, when the king waved a hand to stop him. “Don’t bother, it’s only a little drop of honey, it’s not our problem.”

    The minister watched the drop of honey slowly trickle down the window ledge and land on the street below.

    Soon, a buzzing fly landed on the sweet drop of honey.

    A nearby lizard shot out its long tongue and caught the fly.

    The lizard was taken by surprise when a cat leapt on it.

    The cat was pounced on by its worst enemy the dog that had broken free from its chain.

    Meeowing and barking erupted from the street below the King and his minister. The minister was about to call a servant to go and deal with the brawling cat and dog when the king said, “Relax, the cat and dog belong to the market people. We shouldn’t interfere. It’s not our problem.”

    The cat’s owner was horrified to see her cat being attacked by the big bully of a dog and started whacking the dog with her broom. The dog’s owner was horrified to see her dog being attacked by the big bully of a cat and started whacking the cat with her broom.

    Soon, people started coming out from their stalls and houses to see what all the screaming and shouting was about. Seeing their friend’s cat being attacked, they joined in berating the dog and its owner. Others, seeing their friend’s dog being attacked by the cat, also joined in. Very quickly, the shouting became violent and a fight broke out in the street.

    The worried minister turned to the King but his only comment was, “Not our problem. Here, have some more puffed rice and honey.” The king and his adviser ate as they watched the fray below.

    Soon the police were called in to break up the fight, but the people were so angry, each side convinced that they were right, (right about what, they couldn’t remember). They started attacking the policemen. The fight rapidly broke out into a full-scale riot.

    The king eyed the minister and said, “I know what you are thinking, but the army will handle it. Besides, this is not our problem.”

    The riot swiftly escalated into a civil war with looting and destruction all over the city. Buildings were set alight and by nightfall, the magnificent city was reduced to a pile of smoking ashes. The king and his minister stood spellbound rooted to the spot where they had been watching all day. Their mouths were hanging open in horror.

    “Oh…” said the king quietly, “maybe the little drop of honey WAS our problem.” (freely adapted from the tale of Hovanés Tumanian).

  15. 15.

    And also, evidently, in the area of other reproducing and harvesting natural resources, see [1724]. Other interesting literature on chaos in biological systems are [29], [3236] and [38, 39]. In the fisheries field see [5, 6] and [9]. Finally, see [46] for a very interesting connection between ecology and the social sciences.

  16. 16.

    Evidently, this is the compound interest capitalization formula, at interest rate b used for financial purposes.

References

  1. Amin, S. (2004). U.S. imperialism, Europe, and the Middle East. Monthly Review, 56(6), 13–33.

    Article  MathSciNet  Google Scholar 

  2. Bayart, J.-F. (2000). Africa in the world: A history of extraversion. African Affairs’, 395(99), 217–267.

    Article  Google Scholar 

  3. Berge, P., Pomeau, Y., & Vidal, C. (1984). Order within chaos. New York: Wiley.

    MATH  Google Scholar 

  4. Berliner, L. M. (1992). Statistics, probability and chaos. Statistical Science, 7(1), 69–122.

    Article  MATH  MathSciNet  Google Scholar 

  5. Bjorndal, T. (1987). Production economics and optimal stock size in a North Atlantic fishery. Scandinavian Journal of Economics, 89(2), 145–164.

    Article  Google Scholar 

  6. Bjorndal, T., & Conrad, J. (1987). The dynamics of an open access fishery. Canadian Journal of Economics, 20(1), 74–85.

    Article  Google Scholar 

  7. Campbell, D. K., & Mayer-Kress, G. (1997). Chaos and politics: Applications of nonlinear dynamics to socio-political issues. In C. Grebogi & J. A. Yorke (Eds.), The impact of chaos on science and society. Tokyo: United Nations University Press.

    Google Scholar 

  8. Capra, F. (1996). The web of life: A new scientific understanding of living systems. New York: Anchor Books.

    Google Scholar 

  9. Clark, C. W. (1974). Possible effects of schooling on the dynamics of exploited fish populations. Journal du Conseil Internatinal pour L’Exploration de la Mer, 36(1), 7–14.

    Article  Google Scholar 

  10. Farazmand, A. (2003, December). Chaos and transformation theories: A theoretical analysis with implications for organization theory and public management. Public Organization, 3(4), 339–372.

    Article  Google Scholar 

  11. Ferreira, M. A. M., & Menezes, R. (1992). Equações com Diferenças – Aplicações em problemas de Finanças, Economia, Sociologia e Antropologia. Lisboa: Sílabo.

    Google Scholar 

  12. Ferreira, M. A. M., Filipe, J. A., Coelho, M., & Pedro, M. I. (2010), Fishing policies and the contribution of Chaos theory for fisheries management. In International conference on technology and business management. Proceedings. Dubai: ICTBM-10.

    Google Scholar 

  13. Ferreira, M. A. M., Filipe, J. A., Coelho, M., & Pedro, M. I. C. (2011). Chaos effect in fisheries management. Journal of Economics and Engineering, 2(1), 36–43.

    Google Scholar 

  14. Ferreira, M. A. M., Filipe, J. A., Coelho, M., & Pedro, M. I. C. (2011). Modelling the dissipative effect of fisheries. China-USA Business Review, 10(11), 1110–1114.

    Google Scholar 

  15. Ferreira, M. A. M., Filipe, J. A., Coelho, M., & Pedro, M. I. C. (2013). Managing fisheries in light of complexity and chaos theories. In S. Banerjee (Ed.), Chaos and complexity theory for management: Nonlinear dynamics. Hershey: IGI Globalinstead of Hershey: Information Science Reference.

    Google Scholar 

  16. Ferreira, M. A. M., Filipe, J. A., & Coelho, M. (2014). The fisheries dissipative effect modelling through dynamical systems and chaos theory. Applied Mathematical Sciences, 8(9–12), 573–578. doi:10.12988/ams.2014.312686.

  17. Filipe, J. A. (2006). O Drama dos Recursos Comuns. Um caso de aplicação da Teoria dos Jogos aos comuns da pesca. Ph.D. thesis, ISCTE, Lisboa.

    Google Scholar 

  18. Filipe, J. A., Coelho, M., & Ferreira, M. A. M. (2005). Sistemas Dinâmicos, Caos e os Comuns da Pesca. Revista de Economia Global e Gestão. N.º 2/2005. Lisboa: ISCTE.

    Google Scholar 

  19. Filipe, J. A., Ferreira, M. A. M., & Coelho, M. (2007). O Drama dos Recursos Comuns nas Sociedades Actuais: à procura de soluções para os Ecossistemas em perigo. Lisboa: Edições Sílabo.

    Google Scholar 

  20. Filipe, J. A., Ferreira, M. A. M., & Coelho, M. (2008). The relevance of chaos theory to explain problems of overexploitation in fisheries (Working Paper, WP/24/2008/DE/SOCIUS). Lisboa: ISEG.

    Google Scholar 

  21. Filipe, J. A., Ferreira, M. A. M., Coelho, M., & Pedro, M. I. C. (2009). Complexity, theory of chaos and fishing. In D. Porath & A. Bayer (Eds.), “International suplement” special “update”. Mainz: FH Mainz, University of Applied Sciences.

    Google Scholar 

  22. Filipe, J. A., Ferreira, M. A. M., Coelho, M., & Pedro, M. I. C. (2010). Chaos, anti-chaos and resources: Dealing with complexity. Aplimat-Journal of Applied Mathematics, 3(2), 83–90.

    Google Scholar 

  23. Filipe, J. A., Ferreira, M. A. M., Coelho, M., & Pedro, M. I. (2010). Managing complexity: A problem of chaos in fisheries policy. China-USA Business Review, 9(3), 15–23. David Publishing Company.

    Google Scholar 

  24. Filipe, J. A., Ferreira, M. A. M., Coelho, M., Pedro, M. I., & Andrade, M. (2010). Analysing fisheries management through complexity and chaos theories framework. Journal of Mathematics and Technology, 1(2), 5–12.

    MATH  Google Scholar 

  25. Galtung, J. (1975). Entropy and the general theory of peace (Peace: Research education action, essays in peace research, Vol. 1). Copenhagen: Ejlers.

    Google Scholar 

  26. Geyer, R. (2003, September 19). Europeanisation, complexity, and the British Welfare State. Paper presented to the UACES/ESRC Study Group on The Europeanisation of British Politics and Policy-Making, Department of Politics, University of Sheffield, Sheffield.

    Google Scholar 

  27. Grabinski, M. (2004). Is there chaos in management or Just Chaotic Management? Reprint of Complex Systems, intelligence and Modern Technology Applications. Paris. http://www.h-n-u.de/Veroeffentlichungen/CSIMTA%202004.pdf

  28. Grabinski, M. (2008). Chaos – Limitation or even end of supply chain management. High speed flow of material, information and capital. Istanbul. ISBN: 978-605-399-070-3. http://www.h-n-u.de/Veroeffentlichungen/Chaos%202008.pdf

  29. Hastings, A., Hom, C. L., Ellner, S., Turchin, P., & Godfray, H. C. J. (1993). Chaos in ecology: Is mother nature a strange attractor? Annual Review of Ecology and Systematics, 24(1), 1–33.

    Google Scholar 

  30. I Font, J. P. P., & Régis, D. (2006). Chaos theory and its application in political science [Draft]. Fukuoka: IPSA – AISP Congress.

    Google Scholar 

  31. Kauffman, S. (1993). The origins of order: Self-organization and selection in evolution. New York: Oxford University Press.

    Google Scholar 

  32. Lansing, J. S. (2003). Complex adaptive systems. Annual Review of Anthropology, 32, 183–204. http://www.ic.arizona.edu/lansing/GompAdSys.pdf

  33. Lévêque, G. (2002). Ecologia: do ecossistema à biosfera. Lisboa: Instituto Piaget.

    Google Scholar 

  34. Levin, S. (2003). Complex adaptive systems: Exploring the known, the unknown and the unknowable. Bulletin of the American Mathematical Society, 40, 3–19.

    Article  MATH  Google Scholar 

  35. Mangel, M., & Clark, G. (1983). Uncertainty, search and information in fisheries. Journal du Conseil International pour L’Exploration de, la Mer, 41, 93–103.

    Article  Google Scholar 

  36. Maynard Smith, J. (1968). Mathematical ideas in biology. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  37. Moore, R. (2004). Education and society: Issues and explorations in the sociology of education. Cambridge: Polity.

    Google Scholar 

  38. Neher, P. (1990). Natural resource economics: Conservation and exploitation. Cambridge: Cambridge University Press.

    Google Scholar 

  39. Olsen, L. F., & Degn, H. (1985). Chaos in biological systems. Quarterly Review of Biophysics, 18(2), 165–225.

    Article  Google Scholar 

  40. Peled, A. (2000). The new sciences, self-organization and democracy. Democratization, 7(2), 19–35.

    Article  MathSciNet  Google Scholar 

  41. Prigogine, I. (1993). Les Lois du chaos. Paris: Flammarion.

    Google Scholar 

  42. Prigogine, I., & Nicolis, G. (1989). Exploring complexity: an introduction. New York: W.H. Freeman and Company.

    Google Scholar 

  43. Prigogine, I., & Stenglers, I. (1984). Order out of chaos. Boulder: New Science Library.

    Google Scholar 

  44. Radu, M. (2000, Winter). Festina Lente: United States and Cuba after Castro. What the experience in Eastern Europe suggests. Probable realities and recommendations. Studies in Comparative International Development, 34(4), 7–22.

    Article  Google Scholar 

  45. Rasband, N. S. (1990). Chaotic dynamics of nonlinear systems. New York: Wiley.

    Google Scholar 

  46. Scones, I. (1999). New ecology and the social sciences: What prospects for a fruitful engagement? Annual Review of Anthropology, 28, 479–507.

    Article  ADS  Google Scholar 

  47. Thrift, N. (2008). Non-representational theory. New York: Routledge.

    Google Scholar 

  48. Tsing, A. L. (2005). Friction: An ethnography of global connection. Princeton: Princeton University Press.

    Google Scholar 

  49. Williams, G. P. (1997). Chaos theory tamed. Washington, DC: Joseph Henry Press.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Manuel Alberto Martins Ferreira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Ferreira, M.A.M., Filipe, J.A.C.B., Coelho, M.F.P., Pedro, I.C. (2014). Chaos in World Politics: A Reflection. In: Banerjee, S., Erçetin, Ş., Tekin, A. (eds) Chaos Theory in Politics. Understanding Complex Systems. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8691-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-8691-1_6

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-8690-4

  • Online ISBN: 978-94-017-8691-1

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

Publish with us

Policies and ethics