ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
advertisementadvertisement
Ecological Modelling
Volume 194, Issues 1-3, 25 March 2006, Pages 70-79
Special Issue on the Fourth European Conference on Ecological Modelling - Selected Papers from the Fourth European Conference on Ecological Modelling, September 27 - October 1, 2004, Bled, Slovenia
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Article
Purchase PDF (407 K)

 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
Special issue
View Record in Scopus
 
doi:10.1016/j.ecolmodel.2005.10.008    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Published by Elsevier B.V.

Inductive revision of quantitative process models

Nima Asgharbeygia, Pat Langleya, Corresponding Author Contact Information, E-mail The Corresponding Author, Stephen Baya and Kevin Arrigob

aComputational Learning Laboratory, CSLI, Stanford University, Stanford, CA 94305, USA bDepartment of Geophysics, Mitchell Building, Stanford University, Stanford, CA 94305, USA

Available online 20 December 2005.

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

Abstract

Most research on computational scientific discovery has focused on developing an initial model, but an equally important task involves revising a model in response to new data. In this paper, we present an approach that represents candidate models as sets of quantitative processes and that treats revision as search through a model space which is guided by time-series observations and constrained by background knowledge cast as generic processes that serve as templates for the specific processes used in models. We demonstrate our system’s ability on three different scientific domains and associated data sets. We also discuss its relation to other work on model revision and consider directions for additional research.

Keywords: Process models; Differential equations; Scientific discovery; Model revision

Article Outline

1. Introduction and motivation
2. Process models and their revision
2.1. Quantitative process models
2.2. The RPM revision algorithm
3. Experimental evaluation of RPM
3.1. Predator–prey interactions in protists
3.2. Water dynamics in Ringkø bing Fjord
3.3. Population dynamics in the Ross Sea
3.4. Additional analyses of model revision
4. Related and future work
5. Concluding remarks
Acknowledgements
References






Ecological Modelling
Volume 194, Issues 1-3, 25 March 2006, Pages 70-79
Special Issue on the Fourth European Conference on Ecological Modelling - Selected Papers from the Fourth European Conference on Ecological Modelling, September 27 - October 1, 2004, Bled, Slovenia
 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.