Skip to main content

Why Seneca Effect?

  • Chapter
  • First Online:
Uncertainty, Constraints, and Decision Making

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 484))

  • 261 Accesses

Abstract

Already ancients noticed that decrease is usually faster than growth—whether we talk about companies or empires. A modern researcher Ugo Bardi confirmed that this phenomenon is still valid today. He called it Seneca effect, after the ancient philosopher Seneca—one of those who observed this phenomenon. In this paper, we provide a natural explanation for the Seneca effect.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. U. Bardi, The Seneca Effect: Why Growth is Slow But Collapse is Rapid (Springer, Cham, 2017)

    Book  Google Scholar 

  2. P.C. Fishburn, Utility Theory for Decision Making (Wiley, New York, 1969)

    MATH  Google Scholar 

  3. P.C. Fishburn, Nonlinear Preference and Utility Theory (The John Hopkins Press, Baltimore, 1988)

    MATH  Google Scholar 

  4. D. Kahneman, Thinking, Fast and Slow (Farrar, Straus, and Giroux, New York, 2011)

    Google Scholar 

  5. V. Kreinovich, Decision making under interval uncertainty (and beyond), in Human-Centric Decision-Making Models for Social Sciences. ed. by P. Guo, W. Pedrycz (Springer, Berlin, 2014), pp.163–193

    Chapter  Google Scholar 

  6. R.D. Luce, R. Raiffa, Games and Decisions: Introduction and Critical Survey (Dover, New York, 1989)

    MATH  Google Scholar 

  7. H.T. Nguyen, O. Kosheleva, V. Kreinovich, Decision making beyond Arrow’s ‘impossibility theorem’, with the analysis of effects of collusion and mutual attraction. Int. J. Intell. Syst. 24(1), 27–47 (2009)

    Article  MATH  Google Scholar 

  8. H.T. Nguyen, V. Kreinovich, B. Wu, G. Xiang, Computing Statistics under Interval and Fuzzy Uncertainty (Springer, Berlin, 2012)

    Book  MATH  Google Scholar 

  9. H. Raiffa, Decision Analysis (McGraw-Hill, Columbus, 1997)

    MATH  Google Scholar 

  10. R.T. Rockafeller, Convex Analysis (Princeton University Press, Princeton, 1997)

    Google Scholar 

  11. L.A. Seneca, Letters on Ethics: to Lucilius (University of Chicago Press, Chcago, 2017)

    Google Scholar 

Download references

Acknowledgements

This work was supported in part by the National Science Foundation grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science), and HRD-1834620 and HRD-2034030 (CAHSI Includes), and by the AT&T Fellowship in Information Technology.

It was also supported by the program of the development of the Scientific-Educational Mathematical Center of Volga Federal District No. 075-02-2020-1478, and by a grant from the Hungarian National Research, Development and Innovation Office (NRDI).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vladik Kreinovich .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Aguilar, S.R., Kreinovich, V. (2023). Why Seneca Effect?. In: Ceberio, M., Kreinovich, V. (eds) Uncertainty, Constraints, and Decision Making. Studies in Systems, Decision and Control, vol 484. Springer, Cham. https://doi.org/10.1007/978-3-031-36394-8_11

Download citation

Publish with us

Policies and ethics