An algorithmic game theory framework for bilateral bargaining with uncertainty

Full Text: PdfPdf Buy this ArticleBuy this Article
Authors: Sofia Ceppi DEI, Politecnico di Milano, Milano, Italy
Nicola Gatti DEI, Politecnico di Milano, Milano, Italy
Published in:
Cover Image
 
· Proceeding
AAMAS '10 Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Pages 1489-1490
International Foundation for Autonomous Agents and Multiagent Systems Richland, SC ©2010
table of contents ISBN: 978-0-9826571-1-9
An algorithmic game theory framework for bilateral bargaining with uncertainty 2010 Article
Bibliometrics Data  Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 7
· Downloads (cumulative): 47
· Citation Count: 0


Tools and Resources

Share:

|
feedback Feedback | Switch to single page view (no tabs)

Powered by The ACM Guide to Computing Literature


The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2013 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player
The ACM Guide to Computing Literature
All Tags
Export Formats
 
 
Save to Binder