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Models with Adaptive Intermittent Behaviour

In: Multilevel Strategic Interaction Game Models for Complex Networks

Author

Listed:
  • Duccio Piovani

    (nam.R, Head of Data Science)

  • Jelena Grujić

    (Artificial Intelligence Laboratory, Vrije Universiteit Brussel, Department of Computer Science, Sciences and Bioengineering Sciences
    Machine Learning Group, Université Libre de Bruxelles, Computer Science Department, Faculty of Science)

  • Henrik J. Jensen

    (Imperial College London, Department of Mathematics and Centre for Complexity Science)

Abstract

In this chapter we will present the two models we have used as test cases: the Tangled Nature Model (TNM) and the Stochastic Replicator Model (SRM). As we will see in the following despite substantial differences these two models have a very similar behaviour. At the microscopic level the dynamics unfolds at a constant pace, and nodes stochastically gain or loose weight depending on their interaction with the rest of the system.

Suggested Citation

  • Duccio Piovani & Jelena Grujić & Henrik J. Jensen, 2019. "Models with Adaptive Intermittent Behaviour," Springer Books, in: Eitan Altman & Konstantin Avrachenkov & Francesco De Pellegrini & Rachid El-Azouzi & Huijuan Wang (ed.), Multilevel Strategic Interaction Game Models for Complex Networks, chapter 0, pages 263-270, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-24455-2_13
    DOI: 10.1007/978-3-030-24455-2_13
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