Mechanistic Information and Causal Continuity

In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press (2010)
Authors
Peter Machamer
University of Pittsburgh
James Bogen
University of Pittsburgh
Abstract
Some biological processes move from step to step in a way that cannot be completely understood solely in terms of causes and correlations. This paper develops a notion of mechanistic information that can be used to explain the continuities of such processes. We compare them to processes that do not involve information. We compare our conception of mechanistic information to some familiar notions including Crick’s idea of genetic information, Shannon-Weaver information, and Millikan’s biosemantic information
Keywords No keywords specified (fix it)
Categories (categorize this paper)
Reprint years 2011
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

Our Archive


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 38,097
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

Mechanistic Information as Evidence in Decision-Oriented Science.José Luis Luján, Oliver Todt & Juan Bautista Bengoetxea - 2016 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 47 (2):293-306.

Add more citations

Similar books and articles

Analytics

Added to PP index
2010-02-18

Total views
58 ( #118,568 of 2,313,478 )

Recent downloads (6 months)
2 ( #378,034 of 2,313,478 )

How can I increase my downloads?

Monthly downloads

My notes

Sign in to use this feature