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Three Myths in Complexity Science and How to Resolve Them

2024/07/01 by Casper van Elteren, van Elteren, Casper
Business, Management and Accounting · Decision Sciences · #Adaptation and Self-Organizing Systems (nlin.AO) #Competitive and Knowledge Intelligence #Complex Systems and Decision Making #FOS: Physical sciences #History and Philosophy of Physics (physics.hist-ph)

paper · pdf · doi:10.48550/arxiv.2407.01762

openalex publication_date 2024/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

From bird flocking to neural dynamics, complex systems generate fascinating structures and correlations. Often, seemingly simple dynamics lead to intricate emergent properties. Despite their visceral appeal, defining complex systems lacks universal agreement. In this paper, I will debunk three prevalent myths in complex systems and propose resolutions. This work contributes by offering a contemporary interpretation of complex systems, presenting essential definitions that benefit complexity scientists.

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