Finding equivalence between natural and artificial intelligences

该项目旨在研究人工智能等同于人类智能的方式。计算机在许多领域都优于人类，但很明显，计算机通常不会像人类那样执行任务。通过利用更简单、更容易理解的模型系统（如蜜蜂大脑）来开发评估等效性的创新方法，该项目有望填补这一现有的知识空白。预期成果包括一个框架，为自然智能和人工智能的比较提供强大而细致的标准。其好处预计将包括增强对人工智能系统开发的指导，无论是在日常环境中，还是作为比较和认知神经科学的探索工具。

This project aims to investigate the ways in which artificial intelligence is equivalent to human intelligence. Computers outperform humans in many domains, yet it is clear that computers often don’t perform tasks the way humans do. Developing innovative methods for evaluating claims of equivalence by drawing on simpler, well-understood model systems like the honeybee brain, the project expects to fill this existing knowledge gap. Expected outcomes include a framework that provides powerful, nuanced criteria for comparison of natural and artificial intelligences. Benefits are expected to include enhanced guidance for the development of AI systems both in everyday contexts and as exploratory tools in comparative and cognitive neuroscience.