{"title":"人工智能与图像","authors":"J. Glasgow","doi":"10.1109/TAI.1990.130399","DOIUrl":null,"url":null,"abstract":"Research in cognitive psychology has suggested that images can be represented in terms of the spatial relationships of their meaningful parts. The author presents a formal scheme for knowledge representation based on a functional theory of arrays. Such a representation makes explicit the important features of an image by capturing both its spatial and hierarchical structure. The author also discusses the cognitive processes involved in mental imagery and how corresponding operations can be defined for the array representation.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Artificial intelligence and imagery\",\"authors\":\"J. Glasgow\",\"doi\":\"10.1109/TAI.1990.130399\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research in cognitive psychology has suggested that images can be represented in terms of the spatial relationships of their meaningful parts. The author presents a formal scheme for knowledge representation based on a functional theory of arrays. Such a representation makes explicit the important features of an image by capturing both its spatial and hierarchical structure. The author also discusses the cognitive processes involved in mental imagery and how corresponding operations can be defined for the array representation.<<ETX>>\",\"PeriodicalId\":366276,\"journal\":{\"name\":\"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1990.130399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1990.130399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research in cognitive psychology has suggested that images can be represented in terms of the spatial relationships of their meaningful parts. The author presents a formal scheme for knowledge representation based on a functional theory of arrays. Such a representation makes explicit the important features of an image by capturing both its spatial and hierarchical structure. The author also discusses the cognitive processes involved in mental imagery and how corresponding operations can be defined for the array representation.<>
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