谷歌DeepMind近日在人工智能领域又迈出重要一步，推出了名为SIMA（可扩展、可指导、多世界智能体）的新型智能体。SIMA的设计目标是通过训练学习游戏技能，使其在游戏中的表现更接近人类玩家，而非单纯的高效执行机器。
据The Verge报道，SIMA目前仍处于研究阶段，但其潜力已经初露端倪。在《Valheim：英灵神殿》、《无人深空》和《模拟山羊》等多款游戏中，SIMA已经展现出学习和适应的能力。它不仅能够掌握游戏规则，还能理解游戏环境，甚至在没有明确终点或线性路径的开放世界游戏中寻找策略。
谷歌DeepMind的这一创新旨在让AI智能体具备更广泛的适应性，能应对各种复杂的游戏场景。通过SIMA，他们期望未来AI能够学习如何玩任何类型的游戏，无论游戏机制多么复杂或自由度多高。这一研究进展对于推动人工智能在游戏行业的应用，以及在更广泛的领域如机器人控制、决策制定等具有深远影响。
随着SIMA的不断发展，我们有理由期待一个更加智能且灵活的AI未来，它将不仅仅局限于游戏，更可能在现实世界中发挥重要作用。然而，与此同时，也引发了关于AI伦理和智能安全性的讨论，如何确保AI在学习和进化过程中始终符合人类的价值观，将是未来研究的重要课题。
英语如下：
**News Title:** “Google DeepMind Unveils SIMA: An AI Gaming Prodigy with Human-like Learning Abilities”
**Keywords:** Google DeepMind, SIMA Agent, Game Training
**News Content:** Google DeepMind has recently taken another significant stride in the field of artificial intelligence with the introduction of a novel agent called SIMA (Scalable, Instructable, Multi-World Agent). The objective of SIMA is to learn game skills through training, emulating human players’ performance rather than simply executing tasks efficiently like a machine.
According to The Verge, SIMA is still in the research phase, but its potential is already evident. It has demonstrated learning and adaptability in games such as ‘Valheim:英灵神殿’, ‘No Man’s Sky’, and ‘ Goat Simulator’. Not only does it grasp game rules, but it also comprehends game environments, even finding strategies in open-world games without clear endpoints or linear paths.
This innovation by Google DeepMind aims to endow AI agents with broader adaptability, enabling them to handle a variety of complex game scenarios. With SIMA, they aspire to have AI learn how to play any type of game, regardless of the game’s complexity or level of freedom. This research advancement holds significant implications for the application of AI in the gaming industry and more broadly in areas like robotics control and decision-making.
As SIMA continues to evolve, there is reason to anticipate a smarter and more adaptable AI future that could extend beyond gaming and play a crucial role in the real world. However, this development also sparks discussions on AI ethics and intelligent safety, underlining the need to ensure that AI aligns with human values throughout its learning and evolutionary process, which will be a critical research topic for the future.
【来源】https://www.theverge.com/2024/3/13/24099024/google-deepmind-ai-agent-sima-video-games
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