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Cooperation, competition, and common pool resources in mean field games

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Auteurs : Dayanikli, Gökçe (Auteur de la Conférence)
CIRM (Editeur )

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Résumé : The tragedy of the commons (TOTC, introduced by Hardin, 1968) states that the individual incentives will result in overusing common pool resources which in turn may have detrimental future consequences that affect everyone involved negatively. However, in many real-life situations this does not happen and researchers such as the Nobel laureate Elinor Ostrom suggested mutual restraint by individuals can be the preventing factor. In mean field games (MFGs), since individuals are insignificant and fully non-cooperative, the TOTC is inevitable. This shows that MFG models should incorporate a mixture of self- ishness and altruism to capture real-life situations that include common pool resources. Motivated by this, we will discuss different equilibrium notions to capture the mixture of cooperative and non-cooperative behavior in the population. First, we will introduce mixed individual MFGs and mixed population MFGs where we also include the common pool resources. The former captures altruistic tendencies at the individual level and the latter models a population that is a mixture of fully cooperative and non-cooperative individuals. For both cases, we will briefly discuss definitions and characterization of equi- librium with the forward backward stochastic differential equations. Later, we will discuss a real-life inspired example of fishers where the fish stock is the common pool resource. We will analyze the existence and uniqueness results, and discuss the experimental results.

Keywords : mean field games; mean field control; tragedy of commons

Codes MSC :
91A12 - Cooperative games
91A15 - Stochastic games
91B76 49N80 - Mean field games and control
49N90 - Applications of optimal control and differential games

    Informations sur la Vidéo

    Réalisateur : Récanzone, Luca
    Langue : Anglais
    Date de publication : 04/06/2025
    Date de captation : 20/05/2025
    Sous collection : Research talks
    arXiv category : Computer Science and Game Theory ; Optimization and Control
    Domaine : Control Theory & Optimization ; Dynamical Systems & ODE ; Probability & Statistics
    Format : MP4 (.mp4) - HD
    Durée : 00:39:06
    Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students
    Download : https://videos.cirm-math.fr/2025-05-20_Dayaniki.mp4

Informations sur la Rencontre

Nom de la rencontre : Probability, finance and signal: conference in honour of René Carmona / Probabilités, finance et signal: conférence en l'honneur de René Carmona
Organisateurs de la rencontre : Acciaio, Beatrice ; Crepey, Stephane ; Delarue, Franзois ; Lacker, Daniel ; Oudjane, Nadia
Dates : 19/05/2025 - 23/05/2025
Année de la rencontre : 2025
URL Congrès : https://conferences.cirm-math.fr/3238.html

Données de citation

DOI : 10.24350/CIRM.V.20347803
Citer cette vidéo: Dayanikli, Gökçe (2025). Cooperation, competition, and common pool resources in mean field games. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.20347803
URI : http://dx.doi.org/10.24350/CIRM.V.20347803

Voir aussi

Bibliographie

  • DAYANIKLI, Gokce et LAURIERE, Mathieu. Cooperation, Competition, and Common Pool Resources in Mean Field Games. arXiv preprint arXiv:2504.09043, 2025. - https://doi.org/10.48550/arXiv.2504.09043

  • CARMONA, Rene, DAYANIKLI, Gokce, DELARUE, Francois, et al. From nash equilibrium to social optimum and vice versa: a mean field perspective. arXiv preprint arXiv:2312.10526, 2023. - https://doi.org/10.48550/arXiv.2312.10526



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