Krichmar Jeffrey L, Hwu Tiffany J
Department of Cognitive Sciences, University of California, Irvine, Irvine, CA, United States.
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Front Neurorobot. 2022 May 25;16:882518. doi: 10.3389/fnbot.2022.882518. eCollection 2022.
In their book "How the Body Shapes the Way We Think: A New View of Intelligence," Pfeifer and Bongard put forth an embodied approach to cognition. Because of this position, many of their robot examples demonstrated "intelligent" behavior despite limited neural processing. It is our belief that neurorobots should attempt to follow many of these principles. In this article, we discuss a number of principles to consider when designing neurorobots and experiments using robots to test brain theories. These principles are strongly inspired by Pfeifer and Bongard, but build on their design principles by grounding them in neuroscience and by adding principles based on neuroscience research. Our design principles fall into three categories. First, organisms must react quickly and appropriately to events. Second, organisms must have the ability to learn and remember over their lifetimes. Third, organisms must weigh options that are crucial for survival. We believe that by following these design principles a robot's behavior will be more naturalistic and more successful.
在他们的《身体如何塑造我们的思维方式：一种新的智能观》一书中， Pfeifer和Bongard提出了一种具身认知方法。基于这一观点，他们的许多机器人示例尽管神经处理能力有限，却展现出了“智能”行为。我们认为神经机器人应尝试遵循其中的许多原则。在本文中，我们讨论了设计神经机器人以及使用机器人测试大脑理论的实验时需要考虑的一些原则。这些原则深受Pfeifer和Bongard的启发，但通过将其设计原则基于神经科学进行阐释，并添加基于神经科学研究的原则，对其进行了拓展。我们的设计原则分为三类。第一，生物体必须对事件迅速做出适当反应。第二，生物体必须具备在其生命周期内学习和记忆的能力。第三，生物体必须权衡对生存至关重要的选项。我们相信，遵循这些设计原则，机器人的行为将更自然、更成功。
