Using analogical model formulation with sketches to solve Bennett Mechanical Comprehension Test problems
Using analogical model formulation with sketches to solve Bennett Mechanical Comprehension Test problems
复制标题
使用类比模型公式和草图来解决贝内特机械理解测试问题
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Hyeonkyeong Kim
中科院分区：
文献类型：
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作者：
M. Klenk;Kenneth D. Forbus;E. Tomai;Hyeonkyeong Kim
人工智能的核心问题之一是捕捉人类常识推理的广度和灵活性。评估常识的一种方法是使用依赖于日常推理的人类测试版本。班尼特机械理解测试由通过图片提出的日常推理问题组成，用于评估技术人员。这项测试具有挑战性，因为它需要跨越广泛领域的概念知识，各种日常情况的经验和空间推理。本文描述了我们如何扩展我们的同伴认知架构，它把类比处理作为中心，在班尼特测试的一个子集上表现良好。我们引入类比模型制定作为一个强大的方法推理日常场景，类比的情况下，代表以前的经验。这使得同伴能够执行定性推理（QR），而无需完整的域理论，这通常是QR所需的。我们引入草图注释来传达草图中视觉和概念属性之间的联系。我们引入类比参考框架，使比较分析操作范围更广的问题比以前的技术。我们表明，这些技术使同伴得分相当不错的一个困难的子集的班尼特测试。
One of the central problems of artificial intelligence is capturing the breadth and flexibility of human common sense reasoning. One way to evaluate common sense is to use versions of human tests that rely on everyday reasoning. The Bennett Mechanical Comprehension Test consists of everyday reasoning problems posed via pictures and is used to evaluate technicians. This test is challenging because it requires conceptual knowledge spanning a broad range of domains, experience with a wide variety of everyday situations, and spatial reasoning. This article describes how we have extended our Companion Cognitive Architecture, which treats analogical processing as central, to perform well over a subset of the Bennett test. We introduce analogical model formulation as a robust method for reasoning about everyday scenarios, by analogy with cases that represent prior experiences. This enables a companion to perform qualitative reasoning (QR) without a complete domain theory, as typically required for QR. We introduce sketch annotations to communicate linkages between visual and conceptual properties in sketches. We introduce analogical reference frames to enable comparative analysis to operate over a broader range of problems than prior techniques. We show that these techniques enable a companion to score reasonably well on a difficult subset of the Bennett test.