• 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