An Algorithmic Approach to Emergence
Related Experiment Video
Updated: Sep 3, 2025

A Precise and Autonomous System for the Detection of Insect Emergence Patterns
Published on: January 9, 2019
Charles Alexandre Bédard1, Geoffroy Bergeron2
1Faculty of Informatics, Università della Svizzera Italiana, 6900 Lugano, Switzerland.
Abstract:
We suggest a quantitative and objective notion of emergence. Our proposal uses algorithmic information theory as a basis for an objective framework in which a bit string encodes observational data. A plurality of drops in the Kolmogorov structure function of such a string is seen as the hallmark of emergence. Our definition offers some theoretical results, in addition to extending the notions of coarse-graining and boundary conditions. Finally, we confront our proposal with applications to dynamical systems and thermodynamics.
Related Concept Videos
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Steps in Outbreak Investigation
Mechanistic Models: Compartment Models in Individual and Population Analysis
The Nativist Approach
Information Processing Approach
Principle of Moments: Problem Solving
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...

