Skip to main content

An Evolutionary Game Theory for Differential Equation Models with Reference to Ecosystem Management

  • Conference paper
Advances in Dynamic Games and Applications

Part of the book series: Annals of the International Society of Dynamic Games ((AISDG,volume 1))

Abstract

Either through exploitation or conservation, man is constantly tinkering with ecosystems. On the one hand, we cultivate and harvest a selected few species in man-controlled environments, and on the other hand we recognize the importance of preserves, hoping that still other “wild” species will continue to exist in their “natural” environments (Albeit, in most cases the preserves are still subject to direct control and/or harvesting by man). Do we have any idea of the long-term evolutionary consequences of what our exploitation or conservation activities will be? We present here some new results from evolutionary game theory which, when used with appropriate differential equation models, has the capacity to predict the evolutionary response of biological systems subject to human inputs. These inputs include physiographic changes, harvesting, and the introduction or removal of new species. Some previous results are discussed in terms of ecosystem management and a new example is presented to demonstrate potential use of the theory in the treatment of cancer by chemotherapy.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. B.S. Goh, Management and analysis of biological populations, Amsterdam, Elseivier Scientific, 1980.

    Google Scholar 

  2. J. Maynard Smith, Evolution and the theory of games, Cambridge, Cambridge University Press, 1982

    Book  MATH  Google Scholar 

  3. S.E. Riechert and P. Hammerstein, Game theory in the ecological context, Annual Review Ecological System, vol. 14, pp. 377–409, 1983.

    Article  Google Scholar 

  4. W.G.S. Hines, Evolutionary stable strategies: A review of basic theory, Theoretical Population Biology, vol. 31, pp. 195–272, 1987.

    Article  MathSciNet  MATH  Google Scholar 

  5. T.L. Vincent and J.S. Brown, An evolutionary response to harvesting, Modeling and Management of Resources under Uncertainty, Lecture Notes in Biomathematics, Heidelberg, Springer-Verlag, no. 72, pp. 83–99, 1987.

    Chapter  Google Scholar 

  6. J.S. Brown and T.L. Vincent, A theory for the evolutionary game, Theoretical Population Biology, vol. 31, pp. 140–166, 1987.

    Article  MathSciNet  MATH  Google Scholar 

  7. T.L Vincent, Y. Cohen, and J.S. Brown, Evolution via strategy dynamics, Theoretical Population Biology, vol. 44, pp. 149–176, 1993.

    Article  MATH  Google Scholar 

  8. T.L. Vincent and J.S. Brown, The Evolutionary response to a changing environment, Applied Mathematics and Computation, vol. 32, pp. 185–206, 1989.

    Article  MathSciNet  MATH  Google Scholar 

  9. T.L. Vincent and M.E. Fisher, Evolutionary stable strategies in differential and difference equation models, Evolutionary Ecology, vol. 2, pp. 321–337, 1988.

    Article  Google Scholar 

  10. T.L. Vincent and J.S. Brown, Stability in an evolutionary game, Theoretical Population Biology, vol. 26, pp. 408–427, 1984.

    Article  MathSciNet  MATH  Google Scholar 

  11. T.L. Vincent and J.S. Brown, The evolution of ESS theory, Annual Review of Ecology and Systematics, vol. 19, pp. 423–443, 1988.

    Article  Google Scholar 

  12. J.S. Brown and T.L. Vincent, Predator-prey coevolution as an evolutionary game, Lecture Notes in Biomathematics, vol. 73, pp. 83–101, 1987.

    Article  MathSciNet  Google Scholar 

  13. I. Eshel, Evolution and continuous stability, Journal of Theoretical Biology, vol. 103, pp. 99–111, 1983.

    Article  MathSciNet  Google Scholar 

  14. I. Eschel and U. Motro, Kin selection and strong evolutionary stability of mutual help, Theoretical Population Biology, vol. 19, pp.420–433, 1981.

    Article  MathSciNet  Google Scholar 

  15. S. Lessard, Evolutionary stability: One concept, several meanings, Theoretical Population Biology, vol. 37, pp. 159–170, 1990.

    Article  MathSciNet  MATH  Google Scholar 

  16. T.L. Vincent, Evolutionary games, Journal of Optimization Theory and Applications, vol. 46, no. 4, pp. 605–612, 1985.

    Article  MathSciNet  MATH  Google Scholar 

  17. T.L. Vincent and J.S. Brown, Evolution under nonequilibrium dynamics, Mathematical Modelling, vol. 8, pp. 766–771, 1987.

    Article  MathSciNet  MATH  Google Scholar 

  18. G.R. Price, Selection and covariance, Nature, vol. 227, pp. 520–521, 1970.

    Article  Google Scholar 

  19. M.L. Taper and T.J. Case, Quantitative genetic models for the coevolution of character displacement, Ecology, vol. 66, pp. 355–371, 1985.

    Article  Google Scholar 

  20. R.A. Fisher, The Genetical Theory of Natural Selection, Oxford, Clarendon Press, 1930.

    MATH  Google Scholar 

  21. S. Wright, Evolution and genetics of populations. Vol. 3, Experimental Results and Evolutionary Deductions, Chicago Illinois, University of Chicago Press, 1977.

    Google Scholar 

  22. J. S. Brown and T.L. Vincent, Organization of predator-prey communities as an evolutionary game, Evolution, vol.46, pp. 1269–1283, 1992.

    Article  Google Scholar 

  23. G.W. Swan, Optimization of human cancer radiotherapy, Lecture Notes in Biomathematics, No. 42, Berlin, Springer-Verlag, 1981.

    Book  MATH  Google Scholar 

  24. A.J. Coldman and J.H. Goldie, A model for the resistance of tumor cells to cancer chemotherapeutic agents, Mathematical Biosciences, vol. 65, pp. 292–307, 1983.

    Article  Google Scholar 

  25. T.J. Case, Coevolution in resource-limited competition communities, Theoretical Population Biology, vol 21, pp. 69–91, 1982.

    Article  MathSciNet  MATH  Google Scholar 

  26. J.D. Rummel and J. Roughgarden, Some differences between invasion-structured and coevolution-structured competitive communities: A preliminary theoretical analysis, Oikos, vol. 41, pp. 477–486, 1983.

    Article  Google Scholar 

  27. J.D. Rummel and J. Roughgarden, A theory of faunal buildup for competition communities, Evolution, vol. 39, pp. 1009–1033, 1985.

    Article  Google Scholar 

  28. J. S. Brown and T.L. Vincent, Coevolution as an evolutionary game, Evolution, vol. 41 pp. 66–79, 1987.

    Article  Google Scholar 

  29. T.L. Vincent, Strategy dynamics and the ESS, Dynamics of Complex Interconnected Biological Systems, New York, Birkhäuser, pp. 236–249,1990.

    Chapter  Google Scholar 

  30. J. Roughgarden, Theory of population genetics and evolutionary ecology: An Introduction, New York, MacMillan Publishing Co., 1979.

    Google Scholar 

  31. M.L. Taper and T.J. Case, Models of character displacement and the theoretical robustness of taxon cycles, Evolution, vol. 46, pp. 317–333,1992.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer Science+Business Media New York

About this paper

Cite this paper

Vincent, T.L. (1994). An Evolutionary Game Theory for Differential Equation Models with Reference to Ecosystem Management. In: Başar, T., Haurie, A. (eds) Advances in Dynamic Games and Applications. Annals of the International Society of Dynamic Games, vol 1. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0245-5_20

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-0245-5_20

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4612-6679-2

  • Online ISBN: 978-1-4612-0245-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics