Researchers have explored the trust-safety margins of agents operating in live, language-based economic games. In a competition, their agent 'Milton' utilized deterministic trials and policy changes, with improvements noted in negotiation and persuasion tasks. A five-dose experiment in persuasion demonstrated that recommending every unit increased sales when receivers found obedience rational, but decreased sales and showed a larger early-to-late purchase decline when it was not rational. AI
IMPACT This research provides insights into agent behavior and trust-safety in economic simulations, potentially informing future AI development for negotiation and persuasion.
RANK_REASON The cluster contains an academic paper detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.MA (Multiagent) →
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