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Multiagent Learning within a collaborative environment

Author

Listed:
  • Cristina Ofelia STANCIU

    ()

  • Adrian COJOCARIU

    () (”TIBISCUS” UNIVERSITY OF TIMIŞOARA)

  • Ljubica KAZI

    () (UNIVERSITY OF NOVI SAD)

Abstract

Multiagent Learning is at the intersection of multiagent systems and Machine Learning, two subdomains of artificial intelligence. Traditional Machine Learning technologies usually imply a single agent that is trying to maximize some utility functions without having any knowledge about other agents within its environment. The multiagent systems domain refers to the domains where several agents are involved and mechanisms for the independent agents’ behaviors interaction have to be considered. Due to multiagent systems’ complexity, there have to be found solutions for using Machine Learning technologies to manage this complexity.

Suggested Citation

  • Cristina Ofelia STANCIU & Adrian COJOCARIU & Ljubica KAZI, 2012. "Multiagent Learning within a collaborative environment," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 185-188, May.
  • Handle: RePEc:tdt:annals:v:xviii:y:2012:p:185-188
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    File URL: http://fse.tibiscus.ro/anale/Lucrari2012/kssue2012_026.pdf
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    More about this item

    Keywords

    Machine Learning; Multiagent Learning; Multiagent Systems;

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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