{"title":"找出奇怪的:分形类比方法","authors":"Keith McGreggor, Ashok K. Goel","doi":"10.1145/2069618.2069666","DOIUrl":null,"url":null,"abstract":"The Odd One Out test of intelligence consists of 3x3 matrix reasoning problems organized in 20 levels of difficulty. Addressing problems on this test appears to require integration of multiple cognitive abilities usually associated with creativity, including visual encoding, similarity assessment, pattern detection, and analogical transfer. We describe a novel fractal technique for addressing visual analogy problems on the Odd One Out test. In our technique, the relationship between images is encoded fractally, capturing inherent self-similarity. The technique starts at a high level of resolution, but, if that is not sufficient to resolve ambiguity, it automatically adjusts itself to the right level of resolution for addressing a given problem. Similarly, the technique automatically starts with searching for similarity between simpler relationships, but, if that is not sufficient to resolve ambiguity, it automatically searches for similarity between higher-order relationships. We present preliminary results from applying the fractal technique on a representative subset of the problems from the Odd One Out test.","PeriodicalId":90479,"journal":{"name":"Creativity & cognition : proceedings of the ... Creativity & Cognition Conference. Creativity & Cognition Conference","volume":"82 1","pages":"289-298"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Finding the odd one out: a fractal analogical approach\",\"authors\":\"Keith McGreggor, Ashok K. Goel\",\"doi\":\"10.1145/2069618.2069666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Odd One Out test of intelligence consists of 3x3 matrix reasoning problems organized in 20 levels of difficulty. Addressing problems on this test appears to require integration of multiple cognitive abilities usually associated with creativity, including visual encoding, similarity assessment, pattern detection, and analogical transfer. We describe a novel fractal technique for addressing visual analogy problems on the Odd One Out test. In our technique, the relationship between images is encoded fractally, capturing inherent self-similarity. The technique starts at a high level of resolution, but, if that is not sufficient to resolve ambiguity, it automatically adjusts itself to the right level of resolution for addressing a given problem. Similarly, the technique automatically starts with searching for similarity between simpler relationships, but, if that is not sufficient to resolve ambiguity, it automatically searches for similarity between higher-order relationships. We present preliminary results from applying the fractal technique on a representative subset of the problems from the Odd One Out test.\",\"PeriodicalId\":90479,\"journal\":{\"name\":\"Creativity & cognition : proceedings of the ... Creativity & Cognition Conference. Creativity & Cognition Conference\",\"volume\":\"82 1\",\"pages\":\"289-298\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Creativity & cognition : proceedings of the ... Creativity & Cognition Conference. Creativity & Cognition Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2069618.2069666\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Creativity & cognition : proceedings of the ... Creativity & Cognition Conference. Creativity & Cognition Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2069618.2069666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
摘要
Odd One Out智力测试由3 × 3矩阵推理问题组成,分为20个难度等级。解决这个测试中的问题似乎需要整合通常与创造力相关的多种认知能力,包括视觉编码、相似性评估、模式检测和类比迁移。我们描述了一种新的分形技术,用于解决Odd One Out测试中的视觉类比问题。在我们的技术中,图像之间的关系是分形编码的,捕捉固有的自相似性。该技术从高分辨率开始,但是,如果这不足以解决歧义,它会自动调整到解决给定问题的正确分辨率级别。类似地,该技术自动从搜索简单关系之间的相似性开始,但是,如果这不足以解决歧义,它会自动搜索高阶关系之间的相似性。我们提出了从应用分形技术的一个有代表性的问题子集从奇数出局测试的初步结果。
Finding the odd one out: a fractal analogical approach
The Odd One Out test of intelligence consists of 3x3 matrix reasoning problems organized in 20 levels of difficulty. Addressing problems on this test appears to require integration of multiple cognitive abilities usually associated with creativity, including visual encoding, similarity assessment, pattern detection, and analogical transfer. We describe a novel fractal technique for addressing visual analogy problems on the Odd One Out test. In our technique, the relationship between images is encoded fractally, capturing inherent self-similarity. The technique starts at a high level of resolution, but, if that is not sufficient to resolve ambiguity, it automatically adjusts itself to the right level of resolution for addressing a given problem. Similarly, the technique automatically starts with searching for similarity between simpler relationships, but, if that is not sufficient to resolve ambiguity, it automatically searches for similarity between higher-order relationships. We present preliminary results from applying the fractal technique on a representative subset of the problems from the Odd One Out test.