IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpmh/0510001.html
   My bibliography  Save this paper

An interview with Thomas C. Schelling: Interpretation of game theory and the checkerboard model

Author

Listed:
  • N. Emrah Aydinonat

    (Ankara University)

Abstract

This note is mainly based on a short interview with Thomas C. Schelling (TCS), who shared the Nobel Prize with Robert J. Aumann in 2005. The interview took place on 06.03.2001 at University of Maryland, College Park, USA. It consists of two parts. The first part is about his interpretation of game theory, particularly about the use of game- theoretic models in explaining the origin and maintenance of conventions, and norms. The second part is on the origin of Schelling’s influential checkerboard model of residential segregation, particularly about his approach to modeling social phenomena exemplified by this model. The note ends with some concluding remarks. Citation: Aydinonat, N. Emrah, (2005) 'An interview with Thomas C. Schelling: Interpretation of game theory and the checkerboard model,' Economics Bulletin, Vol. 2 no. 2 pp. 1-7.

Suggested Citation

  • N. Emrah Aydinonat, 2005. "An interview with Thomas C. Schelling: Interpretation of game theory and the checkerboard model," Method and Hist of Econ Thought 0510001, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpmh:0510001
    Note: Type of Document - pdf; pages: 7
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/mhet/papers/0510/0510001.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nozick, Robert, 1994. "Invisible-Hand Explanations," American Economic Review, American Economic Association, vol. 84(2), pages 314-318, May.
    2. Rubinstein, Ariel, 1991. "Comments on the Interpretation of Game Theory," Econometrica, Econometric Society, vol. 59(4), pages 909-924, July.
    3. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-493, May.
    4. J. Barkley Rosser, 1999. "On the Complexities of Complex Economic Dynamics," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 169-192, Fall.
    5. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    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. Colman, Andrew M., 2006. "Thomas C. Schelling's psychological decision theory: Introduction to a special issue," Journal of Economic Psychology, Elsevier, vol. 27(5), pages 603-608, October.
    2. Junfu Zhang, 2011. "Tipping And Residential Segregation: A Unified Schelling Model," Journal of Regional Science, Wiley Blackwell, vol. 51(1), pages 167-193, February.
    3. Łukasz Hard, 2014. "Models of Mechanisms and their Role in Building Economic Explanations," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 37.
    4. Cléo Chassonnery-Zaïgouche & Lauren Larrouy, 2014. "Reshaping Standard Microeconomics for Political Action: Kenneth J. Arrow and Thomas C. Schelling’s Rand Corporation Projects on Racial Issues," GREDEG Working Papers 2014-18, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    5. Lauren Larrouy, 2015. "The Ontology of Schelling's "Theory of Interdependent Decisions"," GREDEG Working Papers 2015-38, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.

    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. repec:ebl:ecbull:v:2:y:2005:i:2:p:1-7 is not listed on IDEAS
    2. Delli Gatti,Domenico & Fagiolo,Giorgio & Gallegati,Mauro & Richiardi,Matteo & Russo,Alberto (ed.), 2018. "Agent-Based Models in Economics," Cambridge Books, Cambridge University Press, number 9781108400046.
    3. Joshua M. Epstein, 2007. "Agent-Based Computational Models and Generative Social Science," Introductory Chapters, in: Generative Social Science Studies in Agent-Based Computational Modeling, Princeton University Press.
    4. Richard Holt & J. Barkley Rosser & David Colander, 2011. "The Complexity Era in Economics," Review of Political Economy, Taylor & Francis Journals, vol. 23(3), pages 357-369.
    5. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. John Lynham & Philip R Neary, 2021. "Tiebout Meets Schelling Online: Sorting in Cybercommunities," Papers 2110.05608, arXiv.org, revised Jun 2023.
    7. Furtado, Bernardo Alves & Eberhardt, Isaque Daniel Rocha, 2015. "Modelo espacial simples da economia: uma proposta teórico-metodológica [A simple spatial economic model: a proposal]," MPRA Paper 67005, University Library of Munich, Germany.
    8. Katarzyna Ostasiewicz & Michal H. Tyc & Piotr Goliczewski & Piotr Magnuszewski & Andrzej Radosz & Jan Sendzimir, 2006. "Integrating economic and psychological insights in binary choice models with social interactions," Papers physics/0609170, arXiv.org.
    9. Bithell, M. & Macmillan, W.D., 2007. "Escape from the cell: Spatially explicit modelling with and without grids," Ecological Modelling, Elsevier, vol. 200(1), pages 59-78.
    10. Zakaria Babutsidze, 2012. "Consumer Learning through Interaction: Effects on Aggregate Outcomes," Chapters, in: Guido Buenstorf (ed.), Evolution, Organization and Economic Behavior, chapter 4, Edward Elgar Publishing.
    11. Pancs, Romans & Vriend, Nicolaas J., 2007. "Schelling's spatial proximity model of segregation revisited," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 1-24, February.
    12. Florence Goffette-Nagot & Pablo Jensen & Sebastian Grauwin, 2009. "Dynamic models of residential segregation: Brief review, analytical resolution and study of the introduction of coordination," Post-Print halshs-00404400, HAL.
    13. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    14. Khamdamov, T., 2022. "A brief overview of the evolution of computer simulations in economic research," Journal of the New Economic Association, New Economic Association, vol. 54(2), pages 189-207.
    15. Claudio Cioffi-Revilla, 2010. "A Methodology for Complex Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(1), pages 1-7.
    16. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    17. James Caton, 2017. "Entrepreneurship, search costs, and ecological rationality in an agent-based economy," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(1), pages 107-130, March.
    18. Alexander J. Laurie & Narendra K. Jaggi, 2003. "Role of 'Vision' in Neighbourhood Racial Segregation: A Variant of the Schelling Segregation Model," Urban Studies, Urban Studies Journal Limited, vol. 40(13), pages 2687-2704, December.
    19. Kai Fischbach & Johannes Marx & Tim Weitzel, 2021. "Agent-based modeling in social sciences," Journal of Business Economics, Springer, vol. 91(9), pages 1263-1270, November.
    20. Radi, Davide & Gardini, Laura & Avrutin, Viktor, 2014. "The role of constraints in a segregation model: The symmetric case," Chaos, Solitons & Fractals, Elsevier, vol. 66(C), pages 103-119.
    21. Jung-Seung Yang, 2022. "Dynamics of Firm’s Investment in Education and Training: An Agent-based Approach," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1317-1351, December.

    More about this item

    Keywords

    Thomas Schelling; game theory; checkerboard model;
    All these keywords.

    JEL classification:

    • B - Schools of Economic Thought and Methodology

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wpa:wuwpmh:0510001. 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.