IDEAS home Printed from https://ideas.repec.org/a/eee/gamebe/v154y2025icp302-328.html

Reasoning about your own future mistakes

Author

Listed:
  • Meier, Martin
  • Perea, Andrés

Abstract

We propose a model of reasoning in dynamic games in which a player, at each information set, holds a conditional belief about his own future choices and the opponents' future choices. These conditional beliefs are assumed to be cautious, that is, the player never completely rules out any feasible future choice by himself or the opponents. We impose the following key conditions: (a) a player always believes that he will choose rationally in the future, (b) a player always believes that his opponents will choose rationally in the future, and (c) a player deems his own mistakes infinitely less likely than the opponents' mistakes. These conditions, together with iterating property (b), lead to the new concept of perfect backwards rationalizability. We show that perfect backwards rationalizable strategies exist in every finite dynamic game. We prove, moreover, that perfect backwards rationalizability constitutes a refinement of both perfect rationalizability (a rationalizability analogue to Selten's (1975) perfect equilibrium) and procedural quasi-perfect rationalizability (a rationalizability analogue to van Damme's (1984) quasi-perfect equilibrium) – two concepts that are introduced in this paper. As a consequence, our concept avoids both weakly dominated strategies in the normal form and strategies containing weakly dominated actions in the agent normal form. For one-shot games, the concept coincides with permissibility (Brandenburger (1992), Börgers (1994)).

Suggested Citation

  • Meier, Martin & Perea, Andrés, 2025. "Reasoning about your own future mistakes," Games and Economic Behavior, Elsevier, vol. 154(C), pages 302-328.
  • Handle: RePEc:eee:gamebe:v:154:y:2025:i:c:p:302-328
    DOI: 10.1016/j.geb.2025.09.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S089982562500140X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.geb.2025.09.010?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

    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:eee:gamebe:v:154:y:2025:i:c:p:302-328. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622836 .

    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.