DocumentCode :
2621469
Title :
Adaptive Parasitized El Farol Bar Problem
Author :
Sheikhha, Fatemeh ; Malazi, H.T. ; Amjadifard, Roya
Author_Institution :
Dept. of Comput. Eng., Univ. of Tehran, Tehran, Iran
Volume :
7
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
422
Lastpage :
426
Abstract :
One of the problems announced to solve congestion problem is El Farol bar problem. It was first introduced as an inductive reasoning to solve congestions in economics problems. Nowadays it can be used in different fields such as traffic, networks and distributed systems as well. The most important problem occurred in previous works was low social utility and the complexity of using predictors. Although recent works did solve some of these shortcomings, they introduce a new deficiency called starvation. In this work we try to mitigate starvation problem with minimal impact on social utility. Besides, the complexity is not too intense.
Keywords :
economics; multi-agent systems; adaptive parasitized El Farol bar problem; congestion problem; economics problems; inductive reasoning; low social utility; multiagent systems coordination; starvation problem; Artificial satellites; Communication system control; Computer networks; Computer science; Distributed computing; Economic forecasting; Environmental economics; Frequency; Multiagent systems; Telecommunication traffic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.1107
Filename :
5170355
Link To Document :
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