IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v326y2016icp90-100.html
   My bibliography  Save this article

From sensing to emergent adaptations: Modelling the proximate architecture for decision-making

Author

Listed:
  • Eliassen, Sigrunn
  • Andersen, Bjørn Snorre
  • Jørgensen, Christian
  • Giske, Jarl

Abstract

During the past 50 years, evolutionary theory for animal behaviour has branched into different methodological frameworks focussing on age-, state-, density-, and frequency-dependent processes. These approaches have led to valuable insights in optimal responses, state dependent choices, and behavioural strategies in social contexts. We argue that time is ripe for an integration of these methodologies based on a rigorous implementation of proximate mechanisms. We describe such a modelling framework that is based on the architectural structures of sensing and information processing, physiological and neurological states, and behavioural control in animals. An individual-based model of this decision architecture is embedded in a genetic algorithm that finds evolutionary adaptations. This proximate architecture framework can be utilized for modelling behavioural challenges in complex environments, for example how animals make behavioural decisions based on multiple sources of information, or adapt to changing environments. The framework represents the evolution of the proximate mechanisms that underlie animal decision making, and it aligns with individual-based ecology by emphasizing the role of local information, perception, and individual behaviour.

Suggested Citation

  • Eliassen, Sigrunn & Andersen, Bjørn Snorre & Jørgensen, Christian & Giske, Jarl, 2016. "From sensing to emergent adaptations: Modelling the proximate architecture for decision-making," Ecological Modelling, Elsevier, vol. 326(C), pages 90-100.
    • Handle: RePEc:eee:ecomod:v:326:y:2016:i:c:p:90-100
    DOI: 10.1016/j.ecolmodel.2015.09.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015003907
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.09.001?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 search for a different version of it.

    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.
    2. repec:cup:judgdm:v:6:y:2011:i:5:p:392-395 is not listed on IDEAS
    3. Mikhail Burtsev & Peter Turchin, 2006. "Evolution of cooperative strategies from first principles," Nature, Nature, vol. 440(7087), pages 1041-1044, April.
    4. Daniel J van der Post & Rineke Verbrugge & Charlotte K Hemelrijk, 2015. "The Evolution of Different Forms of Sociality: Behavioral Mechanisms and Eco-Evolutionary Feedback," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-19, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Grimm, Volker & Berger, Uta, 2016. "Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue," Ecological Modelling, Elsevier, vol. 326(C), pages 177-187.
    2. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).

    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. Te Wu & Feng Fu & Long Wang, 2011. "Moving Away from Nasty Encounters Enhances Cooperation in Ecological Prisoner's Dilemma Game," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-7, November.
    3. Joëlle Noailly, 2008. "Coevolution of economic and ecological systems," Journal of Evolutionary Economics, Springer, vol. 18(1), pages 1-29, February.
    4. Åke Brännström & Jacob Johansson & Niels Von Festenberg, 2013. "The Hitchhiker’s Guide to Adaptive Dynamics," Games, MDPI, vol. 4(3), pages 1-25, June.
    5. 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).
    6. 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).
    7. Melkikh, A.V. & Beregov, R.Y. & Sutormina, M.I., 2022. "Strange attractors and nontrivial solutions in games with three players," Chaos, Solitons & Fractals, Elsevier, vol. 154(C).
    8. Peña, Jorge & González-Forero, Mauricio, 2020. "Eusociality through conflict dissolution via maternal reproductive specialization," IAST Working Papers 20-110, Institute for Advanced Study in Toulouse (IAST).
    9. Boettiger, Carl & Dushoff, Jonathan & Weitz, Joshua S., 2010. "Fluctuation domains in adaptive evolution," Theoretical Population Biology, Elsevier, vol. 77(1), pages 6-13.
    10. 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.
    11. van Weerden, J. Fransje & Verbrugge, Rineke & Hemelrijk, Charlotte K., 2020. "Modelling non-attentional visual information transmission in groups under predation," Ecological Modelling, Elsevier, vol. 431(C).
    12. U. Dieckmann & M. Doebeli, 1999. "On the Origin of Species by Sympatric Speciation," Working Papers ir99013, International Institute for Applied Systems Analysis.
    13. 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.
    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. 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.
    17. 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.
    18. 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.
    19. Wu, Jiabin, 2017. "Political institutions and the evolution of character traits," Games and Economic Behavior, Elsevier, vol. 106(C), pages 260-276.
    20. E. Kisdi & F.J.A. Jacobs & S.A.H. Geritz, 2000. "Red Queen Evolution by Cycles of Evolutionary Branching and Extinction," Working Papers ir00030, International Institute for Applied Systems Analysis.

    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:ecomod:v:326:y:2016:i:c:p:90-100. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.