IDEAS home Printed from https://ideas.repec.org/a/sae/simgam/v41y2010i3p293-315.html

Analyzing Conflict Dynamics With the Aid of an Interactive Microworld Simulator of a Fishing Dispute

Author

Listed:
  • Ranan D. Kuperman

    (University of Haifa, Haifa, Israel, ranank@poli.haifa.ac.il)

Abstract

This article presents findings from a research project that uses an interactive simulator of an imaginary fishing dispute. Subjects operating the simulator play the role of a state leader, while the computer program controls the behavior of a contending state as well as provides all the environmental data associated with the conflict. The simulator is designed to operate in real time according to a predefined set of rules and feedbacks. Therefore, it is not a game, where each party takes turns, but a microworld, where both the operator and the computer opponent can initiate actions independently of one another. Because the subjects are able to learn from experience and improve their policies, it might be expected that they should eventually discover an appropriate policy that maximizes their payoffs. However, experiments with university students reveal that the majority of the subjects fail to reach optimal strategies. It appears that there is a preferred bias toward choosing particular types of strategies that satisfy normative standards, even though these strategies produce lower payoffs.

Suggested Citation

  • Ranan D. Kuperman, 2010. "Analyzing Conflict Dynamics With the Aid of an Interactive Microworld Simulator of a Fishing Dispute," Simulation & Gaming, , vol. 41(3), pages 293-315, June.
  • Handle: RePEc:sae:simgam:v:41:y:2010:i:3:p:293-315
    DOI: 10.1177/1046878109341397
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1046878109341397
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1046878109341397?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    2. George J. Mailath, 1998. "Do People Play Nash Equilibrium? Lessons from Evolutionary Game Theory," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1347-1374, September.
    3. Merrill M. Flood, 1958. "Some Experimental Games," Management Science, INFORMS, vol. 5(1), pages 5-26, October.
    4. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    5. Hurd, Ian, 1999. "Legitimacy and Authority in International Politics," International Organization, Cambridge University Press, vol. 53(2), pages 379-408, April.
    6. Mintz, Alex & Geva, Nehemia & Redd, Steven B. & Carnes, Amy, 1997. "The Effect of Dynamic and Static Choice Sets on Political Decision Making: An Analysis Using the Decision Board Platform," American Political Science Review, Cambridge University Press, vol. 91(3), pages 553-566, September.
    7. Wendt, Alexander, 1992. "Anarchy is what states make of it: the social construction of power politics," International Organization, Cambridge University Press, vol. 46(2), pages 391-425, April.
    8. Finnemore, Martha & Sikkink, Kathryn, 1998. "International Norm Dynamics and Political Change," International Organization, Cambridge University Press, vol. 52(4), pages 887-917, October.
    9. Ranan D. Kuperman, 2001. "Rules of military retaliation and their practice by the state of Israel," International Interactions, Taylor & Francis Journals, vol. 27(3), pages 297-326, March.
    10. Kishore Sengupta & Tarek K. Abdel-Hamid, 1993. "Alternative Conceptions of Feedback in Dynamic Decision Environments: An Experimental Investigation," Management Science, INFORMS, vol. 39(4), pages 411-428, April.
    11. George J. Mailath, 1998. "Do People Play Nash Equilibrium? Lessons from Evolutionary Game Theory," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1347-1374, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter Landwehr & Marc Spraragen & Balki Ranganathan & Kathleen M. Carley & Michael Zyda, 2013. "Games, Social Simulations, and Data—Integration for Policy Decisions," Simulation & Gaming, , vol. 44(1), pages 151-177, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ranan Kuperman, 2011. "Coping with Conflict:A Dynamic Decision Making Perspective," NEPS Working Papers 3/2011, Network of European Peace Scientists.
    2. Rizzello Salvatore, 2002. "Mind and choice in economics," CESMEP Working Papers 200206, University of Turin.
    3. Sent, Esther-Mirjam, 2004. "The legacy of Herbert Simon in game theory," Journal of Economic Behavior & Organization, Elsevier, vol. 53(3), pages 303-317, March.
    4. Jacob K. Goeree & Charles A. Holt, 2001. "Ten Little Treasures of Game Theory and Ten Intuitive Contradictions," American Economic Review, American Economic Association, vol. 91(5), pages 1402-1422, December.
    5. Jerzy Witold Wiśniewski & Ewelina Sokołowska & Jinghua Wu & Anna Dziadkiewicz, 2021. "Evolutionary Game Analysis of the Partners’ Behavior in the Rural E-Payment Market of China," Risks, MDPI, vol. 9(12), pages 1-14, December.
    6. Tassos Patokos, 2014. "Introducing Disappointment Dynamics and Comparing Behaviors in Evolutionary Games: Some Simulation Results," Games, MDPI, vol. 5(1), pages 1-25, January.
    7. Kuperman Ranan, 2016. "Consequential and Appropriate Decisions in International Conflict: An experiment with students operating a fishing dispute simulator," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 22(2), pages 131-157, April.
    8. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    9. Roger A. McCain, 2000. "Road Rage: Imitative Learning Of Self-Destructive Behavior In An Agent-Based Simulation," Computing in Economics and Finance 2000 270, Society for Computational Economics.
    10. Benndorf, Volker & Martínez-Martínez, Ismael & Normann, Hans-Theo, 2021. "Games with coupled populations: An experiment in continuous time," Journal of Economic Theory, Elsevier, vol. 195(C).
    11. Teck H. Ho & Xin Wang & Colin F. Camerer, 2008. "Individual Differences in EWA Learning with Partial Payoff Information," Economic Journal, Royal Economic Society, vol. 118(525), pages 37-59, January.
    12. Tilman Slembeck, 2000. "Learning in Economics: Where Do We Stand?," Microeconomics 0004007, University Library of Munich, Germany.
    13. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    14. Lea Steininger & Casimir Hesse, 2024. "Buying into new ideas: The ECB’s evolving justification of unlimited liquidity," Department of Economics Working Papers wuwp357, Vienna University of Economics and Business, Department of Economics.
    15. Daniel John Zizzo & Daniel Sgroi, 2001. "Bounded-Rational Behavior by Neural Networks in Normal Form Games," Economics Series Working Papers 2000-W30, University of Oxford, Department of Economics.
    16. Tanja A. Börzel & Thomas Risse, 2009. "Diffusing (Inter-) Regionalism - The EU as a Model of Regional Integration," KFG Working Papers p0007, Free University Berlin.
    17. Ball, Richard, 2017. "Violations of monotonicity in evolutionary models with sample-based beliefs," Economics Letters, Elsevier, vol. 152(C), pages 100-104.
    18. David Schüller & Thorsten Upmann, 2013. "When Focal Points are Out of Focus: A Game-Theoretic Analysis of Come Dine with Me," CESifo Working Paper Series 4138, CESifo.
    19. Alberto Locarno, 2012. "Monetary policy in a model with misspecified, heterogeneous and ever-changing expectations," Temi di discussione (Economic working papers) 888, Bank of Italy, Economic Research and International Relations Area.
    20. Wei Chen & Shu-Yu Liu & Chih-Han Chen & Yi-Shan Lee, 2011. "Bounded Memory, Inertia, Sampling and Weighting Model for Market Entry Games," Games, MDPI, vol. 2(1), pages 1-13, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:simgam:v:41:y:2010:i:3:p:293-315. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.