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，旨在通过训练学习游戏技能，使其游戏表现更接近人类玩家。SIMA作为一项处于研究阶段的技术，旨在打破传统AI在游戏中只遵循预设规则的局限，展现出更加灵活和适应性的学习能力。
据The Verge报道，SIMA已经在《Valheim：英灵神殿》、《无人深空》和《模拟山羊》等不同类型的游戏上进行了训练，以适应各种游戏环境和规则。通过这些训练，SIMA的目标不仅仅是掌握特定游戏，而是要能够学习并适应任何游戏，包括那些没有明确终点或开放世界设定的游戏。
谷歌DeepMind的这一创新举措，意味着AI在游戏领域的应用将更加广泛和深入，未来有可能改变游戏设计、玩家体验甚至电子竞技的面貌。SIMA的智能学习能力，为人工智能在复杂环境中的决策制定和自我学习能力提供了新的研究方向，进一步推动了AI技术在模拟、适应和理解复杂系统方面的进步。
英语如下：
News Title: “Google DeepMind Launches SIMA: An AI Gaming Prodigy with Human-Like Learning Capabilities”
Keywords: Google DeepMind, SIMA Agent, Game Training
News Content: Google DeepMind recently took another significant stride in the field of artificial intelligence with the introduction of a novel agent called SIMA (Scalable, Instructable, Multi-World Agent). Designed to learn game skills through training, SIMA aims to mimic the performance of human players. Still in the research phase, SIMA seeks to transcend the confines of traditional AI that merely follows pre-set rules, displaying a more versatile and adaptive learning capacity.
According to The Verge, SIMA has been trained on diverse games like ‘Valheim:英灵神殿’, ‘No Man’s Sky’, and ‘ Goat Simulator’ to acclimate to various game environments and regulations. The objective of this training is not just to master specific games but to learn and adapt to any game, including those without clear endpoints or open-world settings.
This innovative move by Google DeepMind indicates a more extensive and profound application of AI in the gaming industry, potentially reshaping game design, player experience, and even the landscape of esports. The intelligent learning capabilities of SIMA provide new research avenues for decision-making and self-learning in complex environments, further advancing AI technology in simulating, adapting to, and understanding intricate systems.
【来源】https://www.theverge.com/2024/3/13/24099024/google-deepmind-ai-agent-sima-video-games
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