Mind the hubris: complexity can misfire
General Literature
2022-11-01 v2 History and Overview
Abstract
Here we briefly reflect on the philosophical foundations that ground the quest towards ever-detailed models and identify four practical dangers derived from this pursuit: explosion of the model's uncertainty space, model black-boxing, computational exhaustion and model attachment. We argue that the growth of a mathematical model should be carefully and continuously pondered lest models become extraneous constructs chasing the Cartesian dream.
Cite
@article{arxiv.2207.12230,
title = {Mind the hubris: complexity can misfire},
author = {Arnald Puy and Andrea Saltelli},
journal= {arXiv preprint arXiv:2207.12230},
year = {2022}
}
Comments
This is a draft of a chapter that has been accepted for publication by Oxford University Press in the forthcoming book "Views on Mathematical Modelling", edited by Andrea Saltelli and Monica Di Fiore and due for publication in 2023