On the origin of the hierarchy of the sciences
Nikita Kalinin

TL;DR
This paper introduces an evolutionary sandpile model demonstrating self-organised criticality and $1/f$-noise, illustrating how higher-level scientific processes may emerge from lower-level laws in a complex hierarchical system.
Contribution
It presents a simple model that captures the emergence of hierarchical phenomena, providing insights into the origin of the hierarchy of sciences.
Findings
Model exhibits self-organised criticality and $1/f$-noise
Emergent phenomena on higher levels mimic real hierarchical systems
Hierarchical processes can be modeled with simple computational rules
Abstract
We propose a simple "evolutionary" sandpile model exhibiting self-organised criticality and exactly -noise (i.e. the critical exponent is equal to ) and observe emergent phenomena of the same type self-organised criticality on the "next level" sandpile. In this way we try to model climbing by the so-called hierarchy of sciences, where processes on a higher level can, in principle, be derived by laws of a lower level but this derivation is computationally unfeasible and useless from the explanatory point of view.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Complex Network Analysis Techniques · Theoretical and Computational Physics
