Collaborative agent-based learning with limited data exchange

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback
Take a look at the new version of this page: [ beta version ]. Tell us what you think.

Collaborative agent-based learning with limited data exchange

Full text

Pdf (184 KB)

Source

International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 table of contents

Budapest, Hungary

SESSION: Interactions table of contents

Pages: 1191-1192

Year of Publication: 2009

ISBN:978-0-9817381-7-8

Authors

Xavier Rafael Palou	The University of Edinburgh, Edinburgh, United Kingdom
Michael Rovatsos	The University of Edinburgh, Edinburgh, United Kingdom

Sponsors

: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
: Wiley -- Blackwell Ltd

Publisher

International Foundation for Autonomous Agents and Multiagent Systems Richland, SC

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 33, Citation Count: 1

Additional Information:

abstract references cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

ABSTRACT

We describe a collaborative agent-based learning model suitable for environments with limited data exchange and provide an overview of its empirical evaluation.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Healthagents. http://www.healthagents.net.
	2	A. Asuncion and D. Newman. UCI machine learning repository, 2007.
	3	Ludmila I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms, Wiley-Interscience, 2004
	4	Jan Tozicka , Michael Rovatsos , Michal Pechoucek, A framework for agent-based distributed machine learning and data mining, Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, May 14-18, 2007, Honolulu, Hawaii [doi>10.1145/1329125.1329243]