IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2512.07901.html

The Theory of Strategic Evolution: Three Principles of Strategic Replicators

Author

Listed:
  • Kevin Vallier

Abstract

Strategic replicators combine evaluated choice and reproductive transmission. An agent chooses among alternatives; the consequences of those choices influence continuation or reproduction; and successors receive organization that shapes later choices. Artificial intelligence makes this combination salient when agents have authority to create, configure, or retire software instances. This paper organizes the general logic around three principles: situated choice, reproductive transmission, and institution-mediated coupling. The principles are constitutive rather than predictions of growth or improvement. A common representation distinguishes carriers, inherited records, decision owners, and the mechanisms that allocate consequences. Actual parent-descendant attribution yields a selection-transmission identity. Separate compatibility results characterize when utility-maximizing choices also maximize a reproductive criterion. Gode and Sunder's zero-intelligence traders reveal the role of institutions: enforced properties can hold across different decision procedures, while aggregate efficiency alone determines neither individual gains nor descent. A worked market-rent-entry model connects institutional profits to actual offspring, with its occurrence-level ancestry bridge checked in Lean. A direct-deployment example then shows evaluated preferences undergoing selection without presupposing that every chooser values reproduction. Formal appendices develop games with endogenous players, deployment-induced tipping, endogenous electorates, and the production of institutions, with models, proofs, and examples. The paper and its supporting formal artifacts are a prototype kernel with a generative function: an instrument for constructing models of strategic replication. The results are formal; their application to deployed populations and their empirical implications remain to be tested.

Suggested Citation

  • Kevin Vallier, 2025. "The Theory of Strategic Evolution: Three Principles of Strategic Replicators," Papers 2512.07901, arXiv.org, revised Oct 2026.
  • Handle: RePEc:arx:papers:2512.07901
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/2512.07901
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. U. Dieckmann & R. Law, 1996. "The Dynamical Theory of Coevolution: A Derivation from Stochastic Ecological Processes," Working Papers wp96001, International Institute for Applied Systems Analysis.
    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. Nassar, Elma & Pardoux, Etienne, 2019. "Small jumps asymptotic of the moving optimum Poissonian SDE," Stochastic Processes and their Applications, Elsevier, vol. 129(7), pages 2320-2340.
    2. Joëlle Noailly, 2008. "Coevolution of economic and ecological systems," Journal of Evolutionary Economics, Springer, vol. 18(1), pages 1-29, February.
    3. Åke Brännström & Jacob Johansson & Niels Von Festenberg, 2013. "The Hitchhiker’s Guide to Adaptive Dynamics," Games, MDPI, vol. 4(3), pages 1-25, June.
    4. Nonaka, Etsuko & Kuparinen, Anna, 2023. "Limited effects of size-selective harvesting and harvesting-induced life-history changes on the temporal variability of biomass dynamics in complex food webs," Ecological Modelling, Elsevier, vol. 476(C).
    5. Cressman, Ross & Hofbauer, Josef & Riedel, Frank, 2005. "Stability of the Replicator Equation for a Single-Species with a Multi-Dimensional Continuous Trait Space," Bonn Econ Discussion Papers 12/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
    6. González-Forero, Mauricio & Peña, Jorge, 2020. "Eusociality through conflict dissolution via maternal reproductive specialization," IAST Working Papers 20-110, Institute for Advanced Study in Toulouse (IAST).
    7. Boettiger, Carl & Dushoff, Jonathan & Weitz, Joshua S., 2010. "Fluctuation domains in adaptive evolution," Theoretical Population Biology, Elsevier, vol. 77(1), pages 6-13.
    8. Dercole, Fabio & Prieu, Charlotte & Rinaldi, Sergio, 2010. "Technological change and fisheries sustainability: The point of view of Adaptive Dynamics," Ecological Modelling, Elsevier, vol. 221(3), pages 379-387.
    9. Bhat, Ananda Shikhara, 2025. "A stochastic field theory for the evolution of quantitative traits in finite populations," Theoretical Population Biology, Elsevier, vol. 161(C), pages 1-12.
    10. Wang, Lin & Liu, Yin-Ling & Lin, Xiao-Fen & Wang, Rui-Wu, 2024. "Eco-evolutionary feedbacks promotes species coexistence in the fig-wasp mutualism with Allee effect," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
    11. U. Dieckmann & M. Doebeli, 1999. "On the Origin of Species by Sympatric Speciation," Working Papers ir99013, International Institute for Applied Systems Analysis.
    12. Svardal, Hannes & Rueffler, Claus & Hermisson, Joachim, 2015. "A general condition for adaptive genetic polymorphism in temporally and spatially heterogeneous environments," Theoretical Population Biology, Elsevier, vol. 99(C), pages 76-97.
    13. Alexander P Browning & Rebecca M Crossley & Chiara Villa & Philip K Maini & Adrianne L Jenner & Tyler Cassidy & Sara Hamis, 2025. "Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model," PLOS Computational Biology, Public Library of Science, vol. 21(6), pages 1-21, June.
    14. Hammerstein, Peter & Leimar, Olof, 2015. "Evolutionary Game Theory in Biology," Handbook of Game Theory with Economic Applications,, Elsevier.
    15. Durrett, Rick & Mayberry, John, 2010. "Evolution in predator-prey systems," Stochastic Processes and their Applications, Elsevier, vol. 120(7), pages 1364-1392, July.
    16. Boucenna, Sirine & Raoul, Gael & Dakos, Vasilis, 2025. "Evolution between two competing macrophyte populations along a resource gradient leads to collapse in a bistable lake ecosystem," Theoretical Population Biology, Elsevier, vol. 164(C), pages 23-36.
    17. Johansson, Jacob & Ripa, Jörgen & Kuckländer, Nina, 2010. "The risk of competitive exclusion during evolutionary branching: Effects of resource variability, correlation and autocorrelation," Theoretical Population Biology, Elsevier, vol. 77(2), pages 95-104.
    18. Champagnat, Nicolas, 2006. "A microscopic interpretation for adaptive dynamics trait substitution sequence models," Stochastic Processes and their Applications, Elsevier, vol. 116(8), pages 1127-1160, August.
    19. Hernán Darío Toro-Zapata & Gerard Olivar-Tost, 2018. "Mathematical Model For The Evolutionary Dynamic Of Innovation In City Public Transport Systems," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 7(2), pages 77-98.
    20. Wu, Jiabin, 2017. "Political institutions and the evolution of character traits," Games and Economic Behavior, Elsevier, vol. 106(C), pages 260-276.

    More about this item

    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:arx:papers:2512.07901. 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: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    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.