释放人工智能潜力：网络风格方法
分析
这个引人入胜的概念将人工智能设想为压缩的动作-感知模式系统，对智能提供了一个全新的视角！ 通过专注于将数据流压缩成“机制”，它为潜在的更高效、更具适应性的人工智能系统打开了大门。 与弗里斯顿的“主动推理”的联系进一步表明了通往高级、具身智能的道路。
引用 / 来源
查看原文"The general idea is to view agent action and perception as part of the same discrete data stream, and model intelligence as compression of sub-segments of this stream into independent "mechanisms" (patterns of action-perception) which can be used for prediction/action and potentially recombined into more general frameworks as the agent learns."