# WorldMind：面向状态感知 NPC 行为的解耦游戏世界模型

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-08-18 08:00
- AIHOT 分数：46
- AIHOT 链接：https://aihot.virxact.com/items/cmt7yt1ie2lt5ro73ok8vrmtc
- 原文链接：https://arxiv.org/abs/2608.21439

## AI 摘要

WorldMind 提出首个面向游戏世界模型中状态感知 NPC 行为的解耦框架，将交互式世界建模分为理解、决策、控制与生成四层，并通过闭环交互循环将 NPC 行为锚定于不断演化的游戏状态。配套发布 BOSS-140K 数据集及自动化采集智能体。在 BOSS-140K 上的实验显示，WorldMind 在约 70% 的成对比较中因战术更合理、行为更连贯而优于基线。

## 正文

Game world models have recently demonstrated promising capabilities in generating visually coherent and action-controllable gameplay videos. However, non-player character (NPC) behavior in existing models is either implicitly entangled with video generation or explicitly prescribed through external control signals. Consequently, a game world model has to jointly understand the state, plan the NPC's response and render its visual outcome, limiting its ability to produce responsive and state-aware NPC behavior. The challenge lies in the lack of an explicit interface for state-grounded decision-making. To this end, we introduce WorldMind, to our knowledge the first decoupled framework for state-aware NPC behavior in game world models. WorldMind separates interactive world modeling into four layers: an Understanding Layer that constructs a compact state from generated frames; a Decision Layer that reasons over the compact state to plan the NPC's next action; a Control Layer that translates the actions into temporally aligned conditions; and a Generation Layer that synthesizes their visual outcomes. By reconnecting layers in a closed interaction loop, WorldMind grounds NPC behavior in the evolving game state. We further introduce BOSS-140K, a dataset of gameplay videos paired with rich internal game states, together with an agent that automates the collection at scale. Experiments on BOSS-140K demonstrate reliable compact state reconstruction and mechanics-grounded planning, with WorldMind preferred over the baselines in approximately 70% of pairwise comparisons for its more tactically appropriate and coherent NPC behavior. Project page: https://teawhite.cn/worldmind_projectpage/