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Agent 'Milton' tested in live economic games, showing mixed results

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) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Agent 'Milton' tested in live economic games, showing mixed results

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The cluster contains an academic paper detailing research findings. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Marian-Andrei Rizoiu ·

    How Far Can an Agent Push? Trust-Safety Margins in Live Language-Based Economic Games

    The previous version contained Unicode em dashes. Paste this ASCII-only version: Game theory identifies when a strategic action should be accepted, but not how long a live, language-based counterpart will continue to accept it. We entered the GLEE competition in its final week wi…