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A gradient flow approach to the model of positive feedback in decision-making

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  • Zabzina, Natalia

Abstract

Recent studies on social dynamics have been done by using tools and methods of physics and economics. The main idea is that the regularity observed on a global scale arises out of local interactions between the group members. We consider the model describing one of the major interaction mechanism, the model of positive feedback. We propose a geometrical reformulation of this model in terms of gradient flow equations on a Riemannian manifold. The benefit of this reformulation is that we introduce an alternative method to study phenomena of the well known model. We suggest the analogy with a particle moving on curved manifold. We believe that this analogy will allow us to extend powerful mathematical tools from analytical mechanics to the biological systems.

Suggested Citation

  • Zabzina, Natalia, 2015. "A gradient flow approach to the model of positive feedback in decision-making," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 215-224.
  • Handle: RePEc:eee:chsofr:v:77:y:2015:i:c:p:215-224
    DOI: 10.1016/j.chaos.2015.05.027
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    References listed on IDEAS

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    1. Teppo Felin & David J.T. Sumpter & Natalia Zabzina & Stamatios C. Nicolis, 2012. "Six Predictions about the Decision Making of Animal and Human Groups," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 33(5-6), pages 295-309, July.
    2. Stamatios C Nicolis & Natalia Zabzina & Tanya Latty & David J T Sumpter, 2011. "Collective Irrationality and Positive Feedback," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-6, April.
    3. Czirók, András & Vicsek, Tamás, 2000. "Collective behavior of interacting self-propelled particles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 17-29.
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