Multiagent Learning within a collaborative environment

Ofelia Stanciu (), Adrian Cojocariu and Ljubica Kazi ()
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Ljubica Kazi: UNIVERSITY OF NOVI SAD

Anale. Seria Stiinte Economice. Timisoara, 2012, vol. XVIII, 185-188

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.

Keywords: Machine Learning; Multiagent Learning; Multiagent Systems (search for similar items in EconPapers)
JEL-codes: D80 M15 (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:tdt:annals:v:xviii:y:2012:p:185-188

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