Analysis of Efficiency and Accuracy of Learning in Minoriy Games

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Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04)

Analysis of Efficiency and Accuracy of Learning in Minoriy Games (PDF)

New York City, New York, USA

July 19-July 23

ISBN: 0-7695-2092-8

	ASCII Text	x
	Kiyoshi Izumi, Tomohisa Yamashita, Koichi Kurumatani, "Analysis of Efficiency and Accuracy of Learning in Minoriy Games," Autonomous Agents and Multiagent Systems, International Joint Conference on, vol. 3, pp. 1410-1411, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004.

	BibTex	x
	@article{ 10.1109/AAMAS.2004.10170, author = {Kiyoshi Izumi and Tomohisa Yamashita and Koichi Kurumatani}, title = {Analysis of Efficiency and Accuracy of Learning in Minoriy Games}, journal ={Autonomous Agents and Multiagent Systems, International Joint Conference on}, volume = {3}, year = {2004}, isbn = {0-7695-2092-8}, pages = {1410-1411}, doi = {http://doi.ieeecomputersociety.org/10.1109/AAMAS.2004.10170}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Autonomous Agents and Multiagent Systems, International Joint Conference on TI - Analysis of Efficiency and Accuracy of Learning in Minoriy Games SN - 0-7695-2092-8 SP1410 EP1411 A1 - Kiyoshi Izumi, A1 - Tomohisa Yamashita, A1 - Koichi Kurumatani, PY - 2004 KW - null VL - 3 JA - Autonomous Agents and Multiagent Systems, International Joint Conference on ER -

Kiyoshi Izumi, CARC, AIST & CREST, JST

Tomohisa Yamashita, CARC, AIST & CREST, JST

Koichi Kurumatani, CARC, AIST & CREST, JST

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AAMAS.2004.10170

In this paper, we constructed three types of agents, which are different in efficiency and accuracy of learning. They were compared using acquired payoff in a game-theoretic situation, a minority game. As a result, different types of learning methods got the highest payoff according to the complexity of environmental change and learning speed.

Citation:

Kiyoshi Izumi, Tomohisa Yamashita, Koichi Kurumatani, "Analysis of Efficiency and Accuracy of Learning in Minoriy Games," aamas, vol. 3, pp.1410-1411, Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), 2004

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