Unleashing the Power of Multi-Agent Voting Teams

Marcolino, Leandro Soriano (University of Southern California)

AAAI Conferences 

Such prediction is important to take remedy procedures to increase a team's performance. Existing Teams of voting agents have great potential in finding methods are tailored for specific domains [Ramos and optimal solutions. However, there are fundamental Ayanegui, 2008]. In Nagarajan et al. [2015] I introduce a challenges to effectively use such teams: (i) novel domain independent technique, which learns a prediction selecting agents; (ii) aggregating opinions; (iii) assessing function using only the voting patterns of a team.

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