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New framework enables AI agents to master complex persuasion

Researchers have introduced MA$^{2}$P, a novel framework designed for autonomous intelligent agents to excel in complex persuasive dialogue. This system addresses the challenge of inferring and acting upon a persuadee's unstated mental states, a common hurdle for current AI. MA$^{2}$P employs a multi-agent architecture for perception, inference, strategy execution, and evaluation, and includes a meta-cognitive configurator to adapt strategies across different domains. Experiments indicate that this framework achieves a superior persuasion success rate compared to existing methods. AI

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IMPACT This framework could enhance AI's ability to navigate nuanced human interactions in fields like negotiation and counseling.

RANK_REASON The cluster contains an academic paper describing a new AI framework and its experimental results.

Read on arXiv cs.CL →

COVERAGE [2]

  1. arXiv cs.CL TIER_1 · Deyu Zhou ·

    MA$^{2}$P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion

    Persuasive dialogue generation plays a vital role in decision-making, negotiation, counseling, and behavior change, yet it remains a challenging problem. In complex persuasion where the persuadee's internal states are not expressed clearly, the persuader must interpret responses,…

  2. Hugging Face Daily Papers TIER_1 ·

    MA$^{2}$P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion

    Persuasive dialogue generation plays a vital role in decision-making, negotiation, counseling, and behavior change, yet it remains a challenging problem. In complex persuasion where the persuadee's internal states are not expressed clearly, the persuader must interpret responses,…