Computational Model Library

Obligation norm identification in multi-agent societies (1.0.0)

This model describes a mechanism by which software agents can identify norms in an artificial agent society. In particular, this model uses a sequence mining approach to identify norms in an agent society.

Release Notes

Associated Publications

Obligation norm identification in multi-agent societies 1.0.0

Submitted by Tony Savarimuthu Published Jun 29, 2010 Last modified Feb 23, 2018

This model describes a mechanism by which software agents can identify norms in an artificial agent society. In particular, this model uses a sequence mining approach to identify norms in an agent society.

Cite this Model

Tony Savarimuthu (2013, April 27). “Obligation norm identification in multi-agent societies” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/2269/releases/1.0.0/

Create an Open Code Badge that links to this model more info

This model has not been reviewed by CoMSES Net and should be independently reviewed to meet the Open Code Badge guidelines.
You can use the following HTML or Markdown code to create an Open Code Badge that links to version 1.0.0 of this computational model. 

<a href="https://www.comses.net/codebases/2269/releases/1.0.0/">
  <img height="100" src="https://www.comses.net/static/images/icons/open-code-badge.svg" alt="Open Code Badge">
</a>


[![Open Code Badge](https://www.comses.net/static/images/icons/open-code-badge.svg)](https://www.comses.net/codebases/2269/releases/1.0.0/)
Contributors
Tony Savarimuthu
DOI
No assigned DOI
Model Version
1.0.0
License
CC-BY-SA-4.0
Programming Language
Software Framework
None
Operating System
Other
Publish Date
Tuesday, June 29, 2010
Last Updated
Tuesday, February 20, 2018
Downloads 201
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.0.0 Tony Savarimuthu Tue Jun 29 04:07:42 2010 Tue Feb 20 17:24:18 2018 Published

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept