IDEAS home Printed from https://ideas.repec.org/a/gam/jgames/v16y2025i5p54-d1769065.html

Classifying Limited-Move Stability Cycles in 2 × 2 Games

Author

Listed:
  • Leandro Chaves Rêgo

    (Department of Statistics and Applied Mathematics, Universidade Federal do Ceará, Fortaleza 60440-900, Brazil)

  • France Evellyn Gomes de Oliveira

    (Graduate Program in Statistics, Universidade Federal de Pernambuco, Recife 50740-540, Brazil)

  • Giannini Italino Alves Vieira

    (Crateús Campus, Universidade Federal do Ceará, Crateús 63700-000, Brazil)

  • D. Marc Kilgour

    (Department of Mathematics, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada)

Abstract

The 2 × 2 game is the simplest non-trivial model of strategic interaction: there are two players, each has two strategies, and each has a strict preference ranking over the four possible outcomes. For models of play that depend only on the ranking of the outcomes, the catalog of 2 × 2 games permits many useful comparisons and contrasts. By interpreting a 2 × 2 game as a graph model, we obtain new data on the properties of limited-move ( L h ) stability. Specifically, for each 2 × 2 strict ordinal game, we determine the L h -stable outcomes; show how stability depends on the horizon, h ; and find the lengths of cycles and the numbers of moves until cycling begins. We then compare our observations with other classifications of these games and with the values of the conflict and harmony indices.

Suggested Citation

  • Leandro Chaves Rêgo & France Evellyn Gomes de Oliveira & Giannini Italino Alves Vieira & D. Marc Kilgour, 2025. "Classifying Limited-Move Stability Cycles in 2 × 2 Games," Games, MDPI, vol. 16(5), pages 1-21, October.
  • Handle: RePEc:gam:jgames:v:16:y:2025:i:5:p:54-:d:1769065
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-4336/16/5/54/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-4336/16/5/54/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Steven J. Brams, 1977. "Deception in 2 × 2 Games," Conflict Management and Peace Science, Peace Science Society (International), vol. 2(2), pages 171-203, February.
    2. Bryan Randolph Bruns, 2015. "Names for Games: Locating 2 × 2 Games," Games, MDPI, vol. 6(4), pages 1-26, October.
    Full references (including those not matched with items on IDEAS)

    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. Vinícius Ferraz & Thomas Pitz, 2024. "Analyzing the Impact of Strategic Behavior in an Evolutionary Learning Model Using a Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 437-475, February.
    2. Jack Hirshleifer, 1987. "The Analytics of Continuing Conflict," UCLA Economics Working Papers 467A, UCLA Department of Economics.
    3. Jun Zhuang & Vicki M. Bier, 2010. "Reasons for Secrecy and Deception in Homeland‐Security Resource Allocation," Risk Analysis, John Wiley & Sons, vol. 30(12), pages 1737-1743, December.
    4. Brams, Steven J. & Ismail, Mehmet S., 2018. "Stabilizing Cooperative Outcomes in Two-Person Games: Theory and Cases," MPRA Paper 86295, University Library of Munich, Germany.
    5. Luke Marris & Ian Gemp & Georgios Piliouras, 2023. "Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of $2\times2$ Normal-Form Games," Papers 2304.09978, arXiv.org.
    6. Brams, Steven J. & Ismail, Mehmet S., 2019. "Farsightedness in Games: Stabilizing Cooperation in International Conflict," MPRA Paper 91370, University Library of Munich, Germany.
    7. Rusch, Hannes, 2019. "The evolution of collaboration in symmetric 2×2-games with imperfect recognition of types," Games and Economic Behavior, Elsevier, vol. 114(C), pages 118-127.
    8. DeCanio, Stephen J. & Fremstad, Anders, 2013. "Game theory and climate diplomacy," Ecological Economics, Elsevier, vol. 85(C), pages 177-187.
    9. Brams, Steven & Kilgour, Marc, 2017. "Stabilizing unstable outcomes in prediction games," MPRA Paper 77655, University Library of Munich, Germany.

    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:gam:jgames:v:16:y:2025:i:5:p:54-:d:1769065. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.