Abstract
Before the advent of modern computer technology and software, many modeling efforts and scientific experiments were designed for linear, often static systems, that had the advantage to be analytically solvable. The ways of thinking about system behavior and the tools applied to describe that behavior were rooted deeply in classical mechanics. This science was used to describe the behavior of whole classes of moving objects, such as pendulums, falling rocks, or projectiles. We modeled those systems in the previous chapter. The scientific paradigms associated with classical mechanics were not only applied in the realm of the natural sciences but increasingly influenced models of economic and ecological systems as well.
Oppression does the judgment jumble. —Allan Ramsay, Vision
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
Hannon, B., Ruth, M. (2001). Chaos. In: Dynamic Modeling. Modeling Dynamic Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0211-7_37
Download citation
DOI: https://doi.org/10.1007/978-1-4613-0211-7_37
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6560-3
Online ISBN: 978-1-4613-0211-7
eBook Packages: Springer Book Archive