This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Modeling the Use of Nonrenewable Resources Using a Genetic Algorithm

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Schunk, Daniel () (Sonderforschungsbereich 504)

Additional information is available for the following registered author(s):

Abstract

This paper shows, how a genetic algorithm (GA) can be used to model an economic process: the interaction of profit-maximizing oil-exploration firms that compete with each other for a limited amount of oil. After a brief introduction to the concept of multi-agent-modeling in economics, a GA-based resource-economic model is developed. Several model runs based on different economic policy assumptions are presented and discussed in order to show how the GA-model can be used to gain insight into the dynamic properties of economic systems. The remainder outlines deficiencies of GA-based multi-agent approaches and sketches how the present model can be improved.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sfb504.uni-mannheim.de/publications/dp03-23.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 03-23.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 13 pages
Date of creation: 01 Aug 2003
Date of revision:
Handle: RePEc:xrs:sfbmaa:03-23

Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
Contact details of provider:
Postal: D-68131 Mannheim
Phone: (49) (0) 621-292-2547
Fax: (49) (0) 621-292-5594
Email:
Web page: http://www.sfb504.uni-mannheim.de/
More information through EDIRC

Web page: http://www.sfb504.uni-mannheim.de

Order Information:
Email:

For technical questions regarding this item, or to correct its listing, contact: (Carsten Schmidt).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? Data contributors to RePEc receive monthly emails with details about downloads and abstract views of their works.

This page was last updated on 2008-8-13.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.