世界和人类行动模式
Anssi Kanervisto1, Dave Bignell1, Linda Yilin Wen1
1Microsoft Research, Cambridge, UK.
Nature
|February 19, 2025
概括
生成型人工智能 (AI) 可以通过支持代设计来增强创意. 一个新的模型,WHAM,产生一致的游戏和用户修改,使人工智能与创造性实践保持一致.
科学领域:
- 计算机科学
- 人与计算机的交互
- 人工智能
背景情况:
- 创造性人工智能为创意产业提供了潜力,但在支持代调整和分歧思维等核心创意实践方面面临挑战.
- 目前的生成人工智能模型不足以支持基本的人类创意过程,限制了它们与创意工作流程的整合.
研究的目的:
- 将生成性人工智能模型的开发与用户在创意实践中的需求结合起来,特别是在游戏开发中.
- 引入和评估一种新的生成性人工智能模型,以解决支持代和分离的创作过程的局限性.
主要方法:
- 开发和评估了世界和人类行动模型 (WHAM),这是一个针对创意支持的生成人工智能模型.
- 专注于游戏开发中的用户需求,以指导AI的能力,强调用户修改的一致性,多样性和持久性.
主要成果:
- WHAM展示了产生一致和多样化的游戏序列的能力.
- 该模型成功地保留了用户修改,这是将人工智能与代创意工作流协调的关键特征.
- 与以前的特定领域工具相比,WHAM可以从数据中学习相关结构,从而实现更广泛的应用.
结论:
- 以WHAM为例,可以有效地根据用户需求开发和评估以支持创意和实践.
- 在人工智能支持的创意支持工具中,WHAM的展示能力是显著的进步,特别是在游戏开发等动态领域.
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