{"title":"文字游戏:使用认知计算作为AI解谜的基础","authors":"Thomas Manzini, Simon Ellis, J. Hendler","doi":"10.1515/jagi-2015-0006","DOIUrl":null,"url":null,"abstract":"Abstract In this paper we offer a model, drawing inspiration from human cognition and based upon the pipeline developed for IBM’s Watson, which solves clues in a type of word puzzle called syllacrostics. We briefly discuss its situation with respect to the greater field of artificial general intelligence (AGI) and how this process and model might be applied to other types of word puzzles. We present an overview of a system that has been developed to solve syllacrostics.","PeriodicalId":247142,"journal":{"name":"Journal of Artificial General Intelligence","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles\",\"authors\":\"Thomas Manzini, Simon Ellis, J. Hendler\",\"doi\":\"10.1515/jagi-2015-0006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In this paper we offer a model, drawing inspiration from human cognition and based upon the pipeline developed for IBM’s Watson, which solves clues in a type of word puzzle called syllacrostics. We briefly discuss its situation with respect to the greater field of artificial general intelligence (AGI) and how this process and model might be applied to other types of word puzzles. We present an overview of a system that has been developed to solve syllacrostics.\",\"PeriodicalId\":247142,\"journal\":{\"name\":\"Journal of Artificial General Intelligence\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Artificial General Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/jagi-2015-0006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Artificial General Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/jagi-2015-0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles
Abstract In this paper we offer a model, drawing inspiration from human cognition and based upon the pipeline developed for IBM’s Watson, which solves clues in a type of word puzzle called syllacrostics. We briefly discuss its situation with respect to the greater field of artificial general intelligence (AGI) and how this process and model might be applied to other types of word puzzles. We present an overview of a system that has been developed to solve syllacrostics.
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