Emergent order in a continuous state adaptive network model of living systems

Emergent order in a continuous state adaptive network model of living systems

Order can spontaneously emerge from seemingly noisy interactions between biological agents, like a flock of birds changing their direction of flight in unison, without a leader or an external cue. We are interested in the generic conditions that lead to such emergent phenomena. To find these conditi...

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Veröffentlicht in:arXiv.org 2021-03
Hauptverfasser: Carsten T van de Kamp, Dadunashvili, George, Dubbeldam, Johan L A, Idema, Timon
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Adaptive systems
Phase transitions
Swarming
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creator Carsten T van de Kamp
Dadunashvili, George
Dubbeldam, Johan L A
Idema, Timon
description Order can spontaneously emerge from seemingly noisy interactions between biological agents, like a flock of birds changing their direction of flight in unison, without a leader or an external cue. We are interested in the generic conditions that lead to such emergent phenomena. To find these conditions, we use the framework of complex networks to characterize the state of agents and their mutual influence. We formulate a continuous state adaptive network model, from which we obtain the phase boundaries between swarming and disordered phases and characterize the order of the phase transition.
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Phase transitions
Swarming
title Emergent order in a continuous state adaptive network model of living systems
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