Mayo-Wilson, Conor (2014) Structural Chaos. In: UNSPECIFIED.

Preview

PDF 5_Chaos_Induction.pdf - Submitted Version Download (371kB)

Abstract

Philosophers often distinguish between parameter error and model error. Frigg et al. [2014] argue that the distinction is important because although there are methods for making predictions given parameter error and chaos, there are no methods for dealing with model error and "structural chaos." However, Frigg et al. [2014] neither define "structural chaos" nor explain the relationship between it and chaos (simpliciter). I propose a definition of "structural chaos", and I explain two new theorems that show that if a set of models contains a chaotic
function, then the set is structurally chaotic. Finally, I discuss the relationship between my results and structural stability.

---

Export/Citation:

EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL

Social Networking:

Share |

---

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Creators:	Creators Email ORCID Mayo-Wilson, Conor conormw@gmail.com
Keywords:	chaos, structural stability, problem of induction, butterfly effect
Subjects:	Specific Sciences > Complex Systems General Issues > Confirmation/Induction General Issues > Models and Idealization
Depositing User:	Dr. Conor Mayo-Wilson
Date Deposited:	18 Jun 2014 14:37
Last Modified:	18 Sep 2015 13:02
Item ID:	10765
Subjects:	Specific Sciences > Complex Systems General Issues > Confirmation/Induction General Issues > Models and Idealization
Date:	12 June 2014
URI:	https://philsci-archive.pitt.edu/id/eprint/10765

Available Versions of this Item

• Structural Chaos. (deposited 18 Jun 2014 14:37) [Currently Displayed]
  • Structural Chaos. (deposited 18 Sep 2015 13:02)

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item