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Self-Organized Criticality
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The article was published on 1998-01-01 and is currently open access. It has received 610 citations till now.read more
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Journal ArticleDOI
Anomalous scaling in the Zhang model
TL;DR: In this paper, the authors apply the moment analysis technique to analyze large scale simulations of the Zhang sandpile model and find that this model shows different scaling behavior depending on the update mechanism used.
Journal ArticleDOI
Emergent behaviour: theory and experimentation using the mana model
TL;DR: Evidence from an agent-based model of conflict (MANA) is presented which supports theoretical analysis of the Lanchester equations of industrial age warfare into the information age, corresponding to the shift towards more self-organising force elements in future conflicts.
Journal Article
Connections between 'self-organised' and 'classical' criticality
Ronald Meester,C.M. Quant +1 more
TL;DR: In this paper, the authors investigated the nature of self-organised critical behaviour in the Abelian sandpile model and in the Bak { Sneppen evolution model, and they concluded that the self-organized criticality is somewhat confusing, since the tuning of parameters in a model has been replaced by the careful choice of a suitable model.
Journal ArticleDOI
Critical Thresholds and the Limit Distribution in the Bak-Sneppen Model
Ronald Meester,D. Znamenski +1 more
TL;DR: In this article, the authors define three critical thresholds related to avalanche characteristics, and prove that if these critical thresholds are the same and equal to some p ≥ 0.667, then the limit distribution is the product of uniform distributions on (p ≥ 1), and moreover p ≥ 1 < 0.75.
Book ChapterDOI
Fractures and Physical Heterogeneity in Crustal Rock
TL;DR: Despite decades of effort to effectively model fracture distributions in crustal rock, in situ flow and failure structures continue to defeat model predictions as discussed by the authors, and the absence of spatially accurate predictive models seriously degrades hydrocarbon recovery.