Avancerad sökning

Hittade 3 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Mathematical modelling approach to collective decision-making

    Författare :Natalia Zabzina; Denis Gaidashev; Torbjörn Lundh; Uppsala universitet; []
    Nyckelord :collective behaviour; collective decision-making; communication mechanisms; positive feedback; mathematical modelling; bifurcation phenomena; steady state solutions; symmetry breaking; symmetry restoring; diffusion-limited aggregation; fractal dimension;

    Sammanfattning : In everyday situations individuals make decisions. For example, a tourist usually chooses a crowded or recommended restaurant to have dinner. Perhaps it is an individual decision, but the observed pattern of decision-making is a collective phenomenon. LÄS MER

  2. 2. Modelling collective movement and transport network formation in living systems

    Författare :Arianna Bottinelli; David Sumpter; Renaud Lambiotte; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; animal collective behaviour; transport networks; crowd dynamics; complex systems; ants; fish; Tillämpad matematik och statistik; Applied Mathematics and Statistics;

    Sammanfattning : The emergence of collective patterns from repeated local interactions between individuals is a common feature to most living systems, spanning a variety of scales from cells to animals and humans. Subjects of this thesis are two aspects of emergent complexity in living systems: collective movement and transport network formation. LÄS MER

  3. 3. Mathematical models of biological interactions

    Författare :Linnéa Gyllingberg; David J.T. Sumpter; Kolbjörn Tunström; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mathematics with specialization in Applied Mathematics; Matematik med inriktning mot tillämpad matematik;

    Sammanfattning : Mathematical models are used to describe and analyse different types of biological interactions.  From self-propelled particle models capturing the collective motion of fish schools to models in mathematical neuroscience describing the interactions between neurons to individual-based models of ecological interactions. LÄS MER