论文标题
几何矩阵推理任务中的基于视觉刻痕的类比结构
Visual-Imagery-Based Analogical Construction in Geometric Matrix Reasoning Task
论文作者
论文摘要
Raven的渐进式矩阵是一个经典情报测试的家族，在研究和临床环境中都广泛使用。在AI社区中，有许多令人兴奋的努力在计算上模拟了解决此类形象类似推理问题的问题的各个方面。在本文中，我们提出了一系列计算模型，用于使用类比和图像转换来解决Raven的渐进式矩阵。我们按照人类测试人员通常采用的三种不同策略来运行模型。这些模型对Raven的渐进式矩阵的标准版本进行了测试，其中我们可以解决57个问题。因此，事实证明，类比和图像转换在解决RPM问题方面有效。
Raven's Progressive Matrices is a family of classical intelligence tests that have been widely used in both research and clinical settings. There have been many exciting efforts in AI communities to computationally model various aspects of problem solving such figural analogical reasoning problems. In this paper, we present a series of computational models for solving Raven's Progressive Matrices using analogies and image transformations. We run our models following three different strategies usually adopted by human testees. These models are tested on the standard version of Raven's Progressive Matrices, in which we can solve 57 out 60 problems in it. Therefore, analogy and image transformation are proved to be effective in solving RPM problems.
