Researchers at Università di Pisa, in collaboration with the Institute for Informatics and Telematics, National Research Council (CNR), have pioneered a groundbreaking framework engineered to refine the synergy and delegation between humans and AI in collaborative scenarios. This model is meticulously crafted to amplify the dynamics of mixed teams comprising both humans and autonomous agents, by implementing decisive and knowledgeable delegation choices, all aimed at optimizing team efficacy and diminishing individual agent expenditures. Focused on environments where both entities have operational responsibilities — like in autonomous vehicles — it uses contextual analysis to identify the most competent entity, be it human or AI, to execute tasks or make decisions, always aiming to enhance performance and cut down operational costs.
Read the full story — https://news.superagi.com/2023/09/27/human-ai-collaborative-agent-framework-that-optimizes-delegation-and-enhances-team-dynamics/
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