Skip to main content
Springer Nature Link
Log in

Information Dynamics and Intelligent Cooperation in Networked Societies

  • Conference paper
Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5551))

Included in the following conference series:

  • 1554 Accesses

Abstract

We propose a simple yet effective theoretical model for the evolutionary threshold public goods game with binary contributions (the fair personal share or nothing), incorporating the effect of collective risk. We distinguish two distinct public goods games according to whether to return the contributions when the target is not collected. For the two cases, in order to study the impact of collective risk on cooperation, we analyze dynamics of the population which can be represented by the replicator equations. It shows that high rate of loss can enhance the emergence of social cooperation and the provision of public goods. Furthermore, other elements also can promote the cooperation, such as large initial endowment and small threshold. Interestingly, for large group size, it has a positive impact on cooperation in the case of returning the donation amount, whereas a negative impact in the case of no return.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Binmore, K.G.: Playing Fair: Game Theory and the Social Contract. MIT Press, Cambridge (1994)

    Google Scholar 

  2. Colman, A.M.: Game Theory and Its Applications in the Social and Biological Sciences. Butterworth-Heinemann, Oxford (1995)

    Google Scholar 

  3. Hauert, C., Michor, F., Nowak, M.A., Doebeli, M.: Synergy and Discounting of Cooperation in Social Dilemmas. J. Theor. Biol. 239, 195–202 (2006)

    Article  MathSciNet  Google Scholar 

  4. Okada, D., Bingham, P.M.: Human Uniqueness-Self-Interest and Social Cooperation. J. Theor. Bio. 253, 261–270 (2008)

    Article  MathSciNet  Google Scholar 

  5. Kagel, J.H., Roth, A.E. (eds.): The Handbook of Experimental Economics. Princeton University Press, Princeton (1995)

    Google Scholar 

  6. Sigmund, K., Hauert, C., Nowak, M.A.: Reward and Punishment. Proc. Natl. Acad. Sci. USA 98, 10757–10762 (2001)

    Article  Google Scholar 

  7. Fehr, E., Gachter, S.: Altruistic Punishment in Humans. Nature 415, 137–140 (2002)

    Article  Google Scholar 

  8. Hauert, C., Traulsen, A., Brandt, H., Nowak, M.A., Sigmund, K.: Via Freedom to Coercion: The Emergence of Costly Punishment. Science 316, 1905–1907 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  9. Szabo, G., Hauert, C.: Phase Transitions and Volunteering in Spatial Public Goods Games. Phys. Rev. Lett. 89, 118101 (2002)

    Article  Google Scholar 

  10. Santos, F.C., Santos, M.D., Pacheco, J.M.: Social Diversity Promotes the Emergence of Cooperation in Public Goods Games. Nature 454, 213–216 (2008)

    Article  Google Scholar 

  11. Hauert, C., Monte, S.D., Hofbauer, J., Sigmund, K.: Replicator Dynamics for Optional Public Good Games. J. theor. Biol. 218, 187–194 (2002)

    Article  MathSciNet  Google Scholar 

  12. Hauert, C., Holmes, M., Doebeli, M.: Evolutionary Games and Population Dynamics: Maintenance of Cooperation in Public Goods Games. Proc. R. Soc. B 273, 2565–2570 (2006)

    Article  Google Scholar 

  13. Milinski, M., Sommerfeld, R.D., Krambeck, H.J., Reed, F.A., Marotzke, J.: The Collective-Risk Social Dilemma and the Prevention of Simulated Dangerous Climate Change. Proc. Natl. Acad. Sci. USA 105, 2291–2294 (2008)

    Article  Google Scholar 

  14. Bagnoli, M., Mckee, M.: Voluntary Contribution Games: Efficient Private Provision of Public Goods. Econ. Inq. 29, 351–366 (1991)

    Article  Google Scholar 

  15. Bach, L.A., Helvik, T., Christiansen, F.B.: The Evolution of n-Player Cooperational Threshold Games and ESS Bifurcations. J. Theor. Biol. 238, 426–434 (2006)

    Article  Google Scholar 

  16. Pacheco, J.M., Santos, F.C., Souza, M.O., Skyrms, B.: Evolutionary Dynamics of Collective Action in N-person Stag Hunt Dilemmas. Proc. R. Soc. B 276, 315–321 (2009)

    Article  Google Scholar 

  17. Taylor, P., Jonker, L.: Evolutionary Stable Strategies and Game Dynamics. Math. Biosci. 40, 145–156 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  18. Hofbauer, J., Sigmund, K.: Evolutionary Games and Population Dynamics. Cambridge University Press, Cambridge (1998)

    Book  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center for Systems and Control, College of Engineering, Peking University, Beijing, China

    Jing Wang & Long Wang

  2. China Research Institute for Science Popularization, China Association for Science and Technology, Beijing, China

    Fujun Ren & Mei Zhu

Authors
  1. Jing Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fujun Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mei Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Long Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering, Stevens Institute of Technology, NJ 07030, Hoboken, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering, South Dakota School of Mines & Technology, 501 E. St. Joseph Street, Rapid City, SD 57701, USA

    Nian Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, J., Ren, F., Zhu, M., Wang, L. (2009). Information Dynamics and Intelligent Cooperation in Networked Societies. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01507-6_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01506-9

  • Online ISBN: 978-3-642-01507-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation