{"title":"维度复杂性与算法效率","authors":"A. Ngu","doi":"10.4236/ijmnta.2022.111001","DOIUrl":null,"url":null,"abstract":"This paper uses the concept of algorithmic e ciency to present a uni ed theory of intelligence. Intelligence is de ned informally, formally, and computationally. We introduce the concept of Dimensional complexity in algorithmic e ciency and deduce that an optimally e cient algorithm has zero Time complexity, zero Space complexity, and an in nite Dimensional complexity. This algorithm is used to generate the number line.","PeriodicalId":69680,"journal":{"name":"现代非线性理论与应用(英文)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dimensional Complexity & Algorithmic Efficiency\",\"authors\":\"A. Ngu\",\"doi\":\"10.4236/ijmnta.2022.111001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper uses the concept of algorithmic e ciency to present a uni ed theory of intelligence. Intelligence is de ned informally, formally, and computationally. We introduce the concept of Dimensional complexity in algorithmic e ciency and deduce that an optimally e cient algorithm has zero Time complexity, zero Space complexity, and an in nite Dimensional complexity. This algorithm is used to generate the number line.\",\"PeriodicalId\":69680,\"journal\":{\"name\":\"现代非线性理论与应用(英文)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"现代非线性理论与应用(英文)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.4236/ijmnta.2022.111001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"现代非线性理论与应用(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/ijmnta.2022.111001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper uses the concept of algorithmic e ciency to present a uni ed theory of intelligence. Intelligence is de ned informally, formally, and computationally. We introduce the concept of Dimensional complexity in algorithmic e ciency and deduce that an optimally e cient algorithm has zero Time complexity, zero Space complexity, and an in nite Dimensional complexity. This algorithm is used to generate the number line.
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