IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v201y2025ip2s0960077925012494.html

The impact of time-weighted historical payoffs on evolution dynamics of strategies

Author

Listed:
  • Han, Yanyan
  • Li, Minlan
  • Song, Xuemeng
  • Han, Jia-Xu
  • Zhang, Feng
  • Wang, Rui-Wu

Abstract

Evolutionary game theory often oversimplifies fitness by equating it with immediate payoffs. This approach neglects biological realities, such as historical payoffs, resource storage, and metabolic transformation. This study addresses this gap by proposing a novel time-weighted fitness framework. This framework integrates these processes through a three-level structure: resource acquisition, cumulative fitness, and instantaneous fitness. This framework incorporates a maximum storable resource amount and three time-weighted modes (equal, decreasing, increasing) to simulate diverse life-history strategies. Analytical and numerical results reveal that time-weighted resource metabolism generates evolutionary dynamics inaccessible to the classical model. Decreasing time-weighting prioritizes early resource gains. This mode can induce persistent oscillations in strategy frequencies and strong path dependence, which aligns with capital breeding strategies. Increasing time-weighting, which amplifies recent resource gains, intensifies selection pressure over time, corresponding to terminal sprint strategies like pre-dormancy hyperphagia. When resources saturate, all dynamics revert to classical forms, signaling a strategic shift from capital accumulation to income competition. This work unifies historical contingency with instantaneous selection. It offers a mechanistic theory for interpreting diverse ecological patterns, from population cycles to life-history transitions.

Suggested Citation

  • Han, Yanyan & Li, Minlan & Song, Xuemeng & Han, Jia-Xu & Zhang, Feng & Wang, Rui-Wu, 2025. "The impact of time-weighted historical payoffs on evolution dynamics of strategies," Chaos, Solitons & Fractals, Elsevier, vol. 201(P2).
  • Handle: RePEc:eee:chsofr:v:201:y:2025:i:p2:s0960077925012494
    DOI: 10.1016/j.chaos.2025.117236
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925012494
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2025.117236?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.

    References listed on IDEAS

    as
    1. repec:dau:papers:123456789/1014 is not listed on IDEAS
    2. Wen-Bo Du & Xian-Bin Cao & Run-Ran Liu & Chun-Xiao Jia, 2010. "The Effect Of A History-Fitness-Based Updating Rule On Evolutionary Games," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(12), pages 1433-1442.
    3. Kabir, K.M. Ariful & Shahidul Islam, MD & Utsumi, Shinobu & Tanimoto, Jun, 2023. "The emergence of rich complex dynamics in a spatial dyadic game with resource storage, participation cost, and agent interaction propensity," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    4. Zhang, Gui & Xiong, Xiaojin & Pi, Bin & Feng, Minyu & Perc, Matjaž, 2025. "Spatial public goods games with queueing and reputation," Applied Mathematics and Computation, Elsevier, vol. 505(C).
    5. Wettergren, Thomas A., 2023. "Replicator dynamics of evolutionary games with different delays on costs and benefits," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    6. Duan, Yuxian & Huang, Jian & Zhang, Jiarui, 2023. "Evolutionary public good games based on the long-term payoff mechanism in heterogeneous networks," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    7. Josef Hofbauer & Sylvain Sorin & Yannick Viossat, 2009. "Time Average Replicator and Best-Reply Dynamics," Mathematics of Operations Research, INFORMS, vol. 34(2), pages 263-269, May.
    8. Laraki, Rida & Mertikopoulos, Panayotis, 2013. "Higher order game dynamics," Journal of Economic Theory, Elsevier, vol. 148(6), pages 2666-2695.
    9. Liu, Yandi & Li, Yonghui, 2025. "A payoff equality perspective for evolutionary games: Mental accounting and cooperation promotion," Applied Mathematics and Computation, Elsevier, vol. 486(C).
    10. Li, Dandan & Zhou, Kai & Sun, Mei & Han, Dun, 2023. "Investigating the effectiveness of individuals’ historical memory for the evolution of the prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 170(C).
    11. Yuan, Hairui & Meng, Xinzhu, 2022. "Replicator dynamics of division of labor games with delayed payoffs in infinite populations," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    12. Li, Minlan & Liu, Yan-Ping & Han, Yanyan & Wang, Rui-Wu, 2022. "Environmental heterogeneity unifies the effect of spatial structure on the altruistic cooperation in game-theory paradigms," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
    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. Yao, Jingjing & Li, Dandan, 2025. "Evolutionary game analysis of individual behaviors with reputation-driven dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 201(P1).
    2. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    3. Huang, Chaochao & Wang, Chaoqian, 2024. "Memory-based involution dilemma on square lattices," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    4. Yannick Viossat, 2015. "Evolutionary dynamics and dominated strategies," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 3(1), pages 91-113, April.
    5. Sandholm, William H., 2015. "Population Games and Deterministic Evolutionary Dynamics," Handbook of Game Theory with Economic Applications,, Elsevier.
    6. Pierre Coucheney & Bruno Gaujal & Panayotis Mertikopoulos, 2015. "Penalty-Regulated Dynamics and Robust Learning Procedures in Games," Mathematics of Operations Research, INFORMS, vol. 40(3), pages 611-633, March.
    7. Panayotis Mertikopoulos & William H. Sandholm, 2016. "Learning in Games via Reinforcement and Regularization," Mathematics of Operations Research, INFORMS, vol. 41(4), pages 1297-1324, November.
    8. Zhao, Zhengwu & Zhang, Chunyan, 2023. "The mechanisms of labor division from the perspective of task urgency and game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    9. Sun, Xingping & Feng, Kaiyu & Kang, Hongwei & Shen, Yong & Chen, Qingyi, 2026. "Adaptive migration guided by reputation-pheromone dynamics in spatial games," Chaos, Solitons & Fractals, Elsevier, vol. 202(P1).
    10. Wang, Jiaoyuan & Yang, Yanlong, 2026. "Research on the resilience of reputation mechanism to the cooperative environment in the face of external shocks," Applied Mathematics and Computation, Elsevier, vol. 510(C).
    11. Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2024. "Supporting punishment via taxation in a structured population," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    12. Christoph Kuzmics & Daniel Rodenburger, 2020. "A case of evolutionarily stable attainable equilibrium in the laboratory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 70(3), pages 685-721, October.
    13. Li, Dandan & Wu, Qiongzi & Han, Dun, 2025. "On evolution of agent behavior under limited gaming time with reinforcement learning," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
    14. Lee, Hsuan-Wei & Cleveland, Colin & Szolnoki, Attila, 2024. "Suppressing defection by increasing temptation: The impact of smart cooperators on a social dilemma situation," Applied Mathematics and Computation, Elsevier, vol. 479(C).
    15. Yang, Shike & Hu, Xincheng & Shi, Haobin & Chen, Qiang & Ma, Fei, 2026. "Cooperation dynamics in multilayer networks under recommendation and vigilance mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 202(P1).
    16. Yuval Heller & Christoph Kuzmics, 2019. "Renegotiation and Coordination with Private Values," Graz Economics Papers 2019-10, University of Graz, Department of Economics.
    17. Russell Golman, 2011. "Why learning doesn’t add up: equilibrium selection with a composition of learning rules," International Journal of Game Theory, Springer;Game Theory Society, vol. 40(4), pages 719-733, November.
    18. Glaubitz, Alina & Fu, Feng, 2026. "The other side of the coin: Recipient norms and their impact on indirect reciprocity and cooperation," Applied Mathematics and Computation, Elsevier, vol. 513(C).
    19. He, Siyu & Li, Qin & Feng, Minyu & Szolnoki, Attila, 2026. "Reputation assimilation mechanism for sustaining cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 202(P2).
    20. Saeed Hadikhanloo & Rida Laraki & Panayotis Mertikopoulos & Sylvain Sorin, 2022. "Learning in nonatomic games, part Ⅰ: Finite action spaces and population games," Post-Print hal-03767995, HAL.

    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:eee:chsofr:v:201:y:2025:i:p2:s0960077925012494. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.