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New AI agent uses game theory and moral rhetoric for bargaining games

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel agent for the GLEE Competition, designed to excel in bargaining, negotiation, and persuasion games. The agent integrates a game-theoretic solver with Bayesian opponent modeling and a language model that employs moral rhetoric framing. This approach was tested over 13,200 Monte Carlo games and analyzed through 9,337 live-game messages, revealing a strong correlation between moral rhetoric framing and successful persuasion in the game. AI

IMPACT This research could advance AI capabilities in complex negotiation and persuasion scenarios.

RANK_REASON Academic paper detailing a novel AI agent and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

New AI agent uses game theory and moral rhetoric for bargaining games

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Academic paper detailing a novel AI agent and its evaluation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Hayden Arnold ·

    Game-Theoretic Solvers with Bayesian Opponent Modeling and Moral Rhetoric Framing for GLEE

    arXiv:2610.37397v1 Announce Type: cross Abstract: We describe the agent we submitted to the GLEE Competition, which plays bargaining, negotiation, and persuasion games against a shared pool of human and AI opponents. The agent is built around three central components: a classical…

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