在由Olaf Sporns 和 Max Lungarella 最新发表的一篇名为Mapping Information Flow in Sensorimotor Networks (PDF 格式)的论文中，研究人员发现，智能不仅仅局限于大脑。在整个控制过程中，大脑，执行器以及传感器都对产生我们认为是智能的行为有着非常重要的意义。这就意味着，在定义机器人的行为时，你机器人的尺寸也要被考虑进去。他们的研究表明为什么在单独的计算机中研发AI（人工智能）要比在有着完整循环的机器人上面要难得多。同样，这项研究也表明对动物的研究，也不仅仅要理解动物的神经和大脑系统，同时还要理解他们的整个网络系统。

以下是摘自论文的部分内容，更多内容，可以在Roland的博客中找到。

On the left column, you can see the three robots used by the researchers: Roboto has a total of 14 DOF, five of which are used in the current set of experiments (A1); Strider has a total of 14 DOF, with four legs of 3 DOF each and 2 DOF in the pan-tilt head system (A2); and Madame has 4 DOF, with 2 DOF in the pan-tilt system and 2 DOF for the wheels (A3). On the right column, you can see how these robots interact with their environment: Roboto engages in sensorimotor interactions via the head system and arm movements (B1); Strider engages in sensorimotor interactions via the head system, as well as via steering signals generated by the head and transmitted to the four legs (B2); and Madame's behavior consists of a series of approaches to colored objects (B3).