论文标题
迈向下一代人工智能：催化神经艾艾尔革命
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
论文作者
论文摘要
长期以来，神经科学一直是人工智能进步的重要驱动力（AI）。我们建议为了加速AI的进展，我们必须投资Neuroai的基本研究。其中的核心组成部分是体现的图灵测试，该测试挑战了AI动物模型，以类似于其生活对应物的技能水平与感觉运动世界相互作用。体现的图灵测试将重点从游戏玩法和语言等能力转移到了与所有动物共享的超过5亿年的演变中，这些功能尤其发达或独特的人类转变为那些能力。可以通过体现的图灵测试的建筑模型将为下一代AI提供路线图。
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which challenges AI animal models to interact with the sensorimotor world at skill levels akin to their living counterparts. The embodied Turing test shifts the focus from those capabilities like game playing and language that are especially well-developed or uniquely human to those capabilities, inherited from over 500 million years of evolution, that are shared with all animals. Building models that can pass the embodied Turing test will provide a roadmap for the next generation of AI.
