Skip to main content
SpringerLink
Log in

A Multi-Agent System for the Pay-As-You-GO (PAYGO) Social Security Scheme

  • Conference paper
Holonic and Multi-Agent Systems for Manufacturing (HoloMAS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5696))

  • 951 Accesses

Abstract

Multi-Agent Systems (MAS) are suitable for dealing with applications where the environment is both dynamic and very complex, with several type of competitors to get involved. Thus, in this paper, we import MAS conceptualization into the well-known (quasi) Pay-As-You-GO social security scheme; practically useful for many Western Economies. First, we start our analysis with the individual agent and subsequently we move towards a system containing many (cognitive) social agents that considers relations, coordinations and interactions.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brown, R.L.: Pay-As-You-Go Funding Stability: An Age of Eligibility Model. Transactions of the International Congress of Actuaries, 35–56 (1992)

    Google Scholar 

  2. Congress of the United States (Congressional Budget Office, CBO),Uncertainty in social security’s long-term finances: a stochastic analysis, pp. 1–75 (2001)

    Google Scholar 

  3. European Commission. Joint Report from the European Commission and Council on Adequate and Sustainable Pensions. Brussels: Council of the European Union. 6527/2/03 REV2 (2003)

    Google Scholar 

  4. Franklin, S.: Autonomous Agents as Embodied AI. Cybernetics and Systems: Special issue on Epistemological Aspects of Embodied AI 28(6), 499–520 (1997)

    Article  Google Scholar 

  5. Franklin, S., Graesser, A.: Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. In: Jennings, N.R., Wooldridge, M.J., Müller, J.P. (eds.) ECAI-WS 1996 and ATAL 1996. LNCS, vol. 1193. Springer, Heidelberg (1997)

    Google Scholar 

  6. Gillion, C., et al.: Social Security Pensions: Development and Reform. International Labour Office, Geneva (2000)

    Google Scholar 

  7. Haberman, S., Zimbidis, A.: An investigation of the Pay-As-You-Go financing method using a contingency fund and optimal control techniques. North American Actuarial Journal 6(2), 60–75 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  8. Jennings, N.R., Woodridge, M.J. (eds.): Agent technologies: Foundation, Applications and Markers. Springer, Heidelberg (1998)

    Google Scholar 

  9. Lapkoff, S.F.: A Research Note of Keyfitz’s: The Demographic of Unfunded Pensions. European Journal of Population 7, 159–169 (1991)

    Article  Google Scholar 

  10. National Statistics Service of Greece (N.S.S.G). Statistical Data for the Development of the Greek Population in 2005-2030, Population Report Series (2004) (The data are available in the relevant website, http://www.statistics.gr )

  11. Pantelous, A.A., Zimbidis, A.A.: A Quasi Pay-As-You-Go Financing Model For Controlling The International Demographic Phenomenon of Aging Population. In: Proceedings of the 19th Conference of the Hellenic Statistical Institute, pp. 657–665 (2006)

    Google Scholar 

  12. Pantelous, A.A., Zimbidis, A.A.: Dynamic reforming of the traditional pay-as-you-go social security system into a discrete stochastic framework using optimal control methods. Applicationes Mathematicae 35(2), 121–144 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  13. Rupup Commission, Achieving Financial Sustainability for the Social Security System. Berlin, Bundesministerium fur Gesundheit & Soziale Sicherung (Federal Ministry of Health and Social Security) (2003) (English summary)

    Google Scholar 

  14. Russell, S.J., Norvig, P.: Artificial intelligence: a Modern approach, 2nd edn. Prentice Hall, Upper Saddle River (2003)

    MATH  Google Scholar 

  15. Samuelson, P.: An exact consumption-loan model of interest with or without the social contrivance of money. Journal of Political Economy 66, 467–482 (1958)

    Article  Google Scholar 

  16. Stone, P.: Layered learning in multi-agent systems: a winning approach to robotic soccer. MIT Press, Cambridge (2000)

    Google Scholar 

  17. Wilkie, A.D.: Mutuality and Solidarity: Assessing Risks and Sharing Losses. British Actuarial Journal 3, 985–986 (1997)

    Google Scholar 

  18. Wooldridge, M.: An introduction to multiagent systems. John Wiley and Sons Ltd, Chichester (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Statistics, Athens University of Economics and Business, 76, Patission Str., Athens, GR, 10434, Greece

    Athanasios A. Pantelous & Alexandros A. Zimbidis

  2. Department of Mathematical Sciences, Mathematics and Oceanography Building, University of Liverpool, Peach Str., Liverpool, L69 7ZL, U.K.

    Athanasios A. Pantelous

Authors
  1. Athanasios A. Pantelous
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alexandros A. Zimbidis
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Czech Technical University, Faculty of Electrical Engineering, Department of Cybernetics, 16627 Praha 6, Czech Republic and Rockwell Automation Research Center Prague, Pekařská 10a/695,, 15500, Prague 5,, Czech Republic

    Vladimír Mařík

  2. PROFACTOR GmbH, Im Stadtgut A2, 4407, Steyr-Gleink, Austria

    Thomas Strasser

  3. Automation and Control Institute, Vienna University of Technology, Karlsplatz 13, 1040, Vienna, Austria

    Alois Zoitl

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pantelous, A.A., Zimbidis, A.A. (2009). A Multi-Agent System for the Pay-As-You-GO (PAYGO) Social Security Scheme. In: Mařík, V., Strasser, T., Zoitl, A. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2009. Lecture Notes in Computer Science(), vol 5696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03668-2_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03668-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03666-8

  • Online ISBN: 978-3-642-03668-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation