论文标题
对称作为几何智能的组织原理
Symmetry as an Organizing Principle for Geometric Intelligence
论文作者
论文摘要
几何模式的探索刺激了想象力并鼓励抽象推理，这是人类智力的独特特征。在认知科学中，诸如对称性之类的格式塔原则经常解释了人类感知的重要方面。我们提出了一种用于构建人工智能（AI）代理的计算技术，该技术使用对称性作为组织原理来解决Dehaene的几何智能测试\ cite {dehaene2006core}。我们的模型的性能与Dehaene测试中现存的问题解决的AI模型相当，并且似乎与同一测试中人类行为的某些元素相关。
The exploration of geometrical patterns stimulates imagination and encourages abstract reasoning which is a distinctive feature of human intelligence. In cognitive science, Gestalt principles such as symmetry have often explained significant aspects of human perception. We present a computational technique for building artificial intelligence (AI) agents that use symmetry as the organizing principle for addressing Dehaene's test of geometric intelligence \cite{dehaene2006core}. The performance of our model is on par with extant AI models of problem solving on the Dehaene's test and seems correlated with some elements of human behavior on the same test.
