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AI agent uses 'Adversarial Inner Thoughts' for proactive dialogue timing in Werewolf game

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new AI agent for the Werewolf game that focuses on proactive utterance timing, building upon the existing 'Inner Thoughts' framework. This adapted method, named 'Adversarial Inner Thoughts,' is specifically designed for the competitive and information-scarce environment of Werewolf, unlike previous general dialogue systems. Experiments involving self-play logs and human evaluations were conducted to assess the effectiveness of this approach in determining not only what to say but also when to speak. AI

IMPACT This research could inform the development of more sophisticated conversational AI agents capable of strategic timing in competitive environments.

RANK_REASON The cluster contains a research paper detailing a new AI agent and methodology for a specific game. [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 →

AI agent uses 'Adversarial Inner Thoughts' for proactive dialogue timing in Werewolf game

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The cluster contains a research paper detailing a new AI agent and methodology for a specific game. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yoshiki Tanaka, Shuya Uchiyama, Daichi Hamaguchi, Michimasa Inaba ·

    Beyond What to Say: Proactive Utterance Timing with Inner Thoughts for Werewolf Agents

    arXiv:2610.32107v1 Announce Type: new Abstract: Participating in a conversation involves not only deciding what to say but also whether to speak at all. This judgment carries even greater significance in environments like the Werewolf game, where participants' interests conflict,…

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