AI agent通过记忆与社交分析，在骗术游戏中胜出。
Revac: A Social Deduction Reasoning Agent
- 构建多模块系统，融合玩家画像、指控关系图谱与动态语气选择
- 在MindGames Arena比赛中获第一名，展现推理与适应能力
- 适合对社交推理、虚假信息处理感兴趣的开发者与研究者
社交推理游戏如《鬼镇》对AI提出独特挑战：玩家需在不确定环境下推理，解读不完整且故意误导的信息，评估类人沟通，并做出策略性淘汰决策。与确定性棋盘游戏不同，成功的关键不在于完美信息或暴力搜索，而在于面对欺骗时的推理、记忆与适应能力。本文介绍了为MindGames Arena竞赛社交推理赛道设计并评估的Revac-8 AI代理，其最终获得第一名。该代理从简单的两阶段推理系统演化为多模块架构，整合基于记忆的玩家画像、指控与辩护的社交图分析，以及动态语气选择机制。结果表明，结构化记忆与自适应沟通对高压力社交环境中的优异表现至关重要。
原文摘要 · Abstract (English)
Social deduction games such as Mafia present a unique AI challenge: players must reason under uncertainty, interpret incomplete and intentionally misleading information, evaluate human-like communication, and make strategic elimination decisions. Unlike deterministic board games, success in Mafia depends not on perfect information or brute-force search, but on inference, memory, and adaptability in the presence of deception. This work presents the design and evaluation of Revac-8, an AI agent developed for the Social Deduction track of the MindGames Arena competition, where it achieved first place. The final agent evolved from a simple two-stage reasoning system into a multi-module architecture that integrates memory-based player profiling, social-graph analysis of accusations and defenses, and dynamic tone selection for communication. These results highlight the importance of structured memory and adaptive communication for achieving strong performance in high-stakes social environments.
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