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  1. Attraction vs. Alignment as Drivers of Collective Motion
    Erschienen: 2022
    Verlag:  Frontiers Media S.A.

    Moving animal groups exhibit a range of fascinating behaviors. The standard explanation for how these groups form and function is that the individual animals interact via attraction, repulsion, and alignment, where alignment is proposed to drive the... mehr

     

    Moving animal groups exhibit a range of fascinating behaviors. The standard explanation for how these groups form and function is that the individual animals interact via attraction, repulsion, and alignment, where alignment is proposed to drive the collective motion. However, it has been shown both experimentally and theoretically that alignment interactions are not required to induce group level alignment. In particular, via the use of self-propelled particle models it has been established that several other mechanisms induce group level alignment (aka polarization) in combination with attraction alone. However, no systematic comparison of these mechanisms among themselves, or with explicit alignment, has been presented and it remains unclear how, or even if, they can be distinguished at the collective level. Here, we introduce two previously unreported mechanisms, burst-and-glide and burst-and-stop, and show via simulation that they also induce polarization in combination with attraction alone. Then, we compare the polarization inducing characteristics of six mechanisms; asymmetric interactions, asynchrony, anticipation, burst-and-glide, burst-and stop, and explicit alignment. We show that the mechanisms induce polarization in different parts of the attraction parameter space, that the route to polarization from uniformly random initial conditions, as well as repolarization following strong perturbations, is markedly different among the mechanisms. In particular, we find that alignment based and non-alignment based mechanisms can be distinguished via their polarization and repolarization processes. These findings further challenge the current alignment based theory of collective motion and may contribute to a more versatile theory of collective motion across scales.

     

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    Quelle: BASE Fachausschnitt AVL
    Sprache: Englisch
    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    Übergeordneter Titel: Frontiers in Applied Mathematics and Statistics, Vol 7 (2022)
    Schlagworte: flocking; self-propelled particles; polarization; animal behavior; schooling; swarming; Applied mathematics. Quantitative methods; Probabilities. Mathematical statistics
  2. Ecuaciones de recurrencia estocásticas en el cálculo de la prima de reaseguro Finite Risk.
    Erschienen: 2013
    Verlag:  ASEPUMA. Asociación Española de Profesores Universitarios de Matemáticas aplicadas a la Economía y a la Empresa

    The aim of this paper is to calculate the renewal premium of finite risk reinsurance under the assumption that the interest rate shows a stochastic evolution. The problem of the convolution of the random variables involved in the calculation of the... mehr

     

    The aim of this paper is to calculate the renewal premium of finite risk reinsurance under the assumption that the interest rate shows a stochastic evolution. The problem of the convolution of the random variables involved in the calculation of the premium has been solved by simulating claim paths using the Monte-Carlo method and applying three financial decision criteria: the expected value, the variance and the standard deviation. In the last two criteria we propose to use a stochastic recurrence equation to avoid the problem of dependence between stochastic capitalization factors. The application of the variance criterion and of the standard deviation criterion has allowed us to obtain the reinsurance premium depending on the level of risk aversion of the reinsurer and the volatility of the interest rate

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: BASE Fachausschnitt AVL
    Sprache: Englisch; Spanisch
    Medientyp: Aufsatz aus einer Zeitschrift
    Format: Online
    Übergeordneter Titel: Rect@, Vol 14, Iss 1, Pp 35-48 (2013)
    Schlagworte: Finite risk; stochastic environment; recurrence equation; Monte-Carlo simulation; renewal premium; Probabilities. Mathematical statistics; Social Sciences; H