谷歌DeepMind，全球人工智能研究领域的领军者，近日宣布了一项创新性进展——SIMA（可扩展、可指导、多世界智能体）的诞生。SIMA是一款能够通过训练掌握游戏技能的人工智能系统，它的设计目标是模仿人类玩家的行为，而非单纯追求高效的机器式解决方案。
据The Verge报道，SIMA目前仍处于研究阶段，但已显示出令人瞩目的潜力。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，能够像人类玩家一样探索游戏世界，理解和应对复杂的游戏机制。这一突破性的设计使得SIMA不仅能应对有明确目标和线性路径的游戏，还能够适应开放世界游戏的自由度和无尽挑战。
谷歌DeepMind的这一举措，旨在推动AI在游戏领域的应用，探索更深层次的智能学习。SIMA的最终目标是成为一个能够无差别适应任何游戏的智能体，无论是结构化还是非结构化，有终点还是无尽的游戏世界，它都能游刃有余。
这一研发成果不仅将革新电子游戏的体验，也为AI在其他领域的应用，如复杂问题解决和环境适应性学习，提供了新的思考方向。我们期待SIMA在未来能带来更多惊喜，让人工智能的学习能力和适应性达到新的高度。
英语如下：
News Title: “Google’s DeepMind Creates SIMA AI Agent to Play Games Like Humans!”
Keywords: DeepMind, SIMA AI Agent, Game Training
News Content:
Title: Google’s DeepMind Launches SIMA AI Agent, Pioneering a New Era in AI Game Learning
Google DeepMind, a global leader in AI research, recently unveiled a groundbreaking development – the SIMA (Scalable, Instructable, Multi-World Agent). This AI system is designed to learn game skills through training, mimicking human players rather than solely pursuing efficient machine solutions.
As reported by The Verge, SIMA is still in the research phase but has demonstrated impressive potential. It has shown the ability to learn and adapt in games like “Valheim:英灵神殿,” “No Man’s Sky,” and ” Goat Simulator,” exploring game worlds and understanding complex mechanics as a human player would. This breakthrough design enables SIMA to handle games with clear objectives and linear paths, as well as navigate the freedom and endless challenges of open-world games.
DeepMind’s initiative aims to advance AI applications in gaming and delve into deeper levels of intelligent learning. The ultimate goal for SIMA is to become an adaptable AI that can seamlessly transition between any game, structured or unstructured, finite or infinite.
This research breakthrough not only promises to revolutionize the gaming experience but also opens new avenues for AI application in problem-solving and adaptive learning in real-world environments. We look forward to seeing SIMA deliver more surprises in the future, pushing the boundaries of AI’s learning capabilities and adaptability to new heights.
【来源】https://www.theverge.com/2024/3/13/24099024/google-deepmind-ai-agent-sima-video-games
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