{"title":"为什么要进行二进制合并","authors":"Koji Arikawa","doi":"10.17791/jcs.2016.17.4.499","DOIUrl":null,"url":null,"abstract":"Linguists have accumulated evidence for binary merge. This paper adds mathematical reason. The computational procedures of human natural language (CHL) choose binary merge because it can contain more information, and lacks optimal balance. Nature organizes network currents to minimize information loss. This is the physical principle of minimal computation (MC). CHL obeys MC. Nature has created CHL in the human brain. Nature has selected binary merge whose balance is not optimal, and information loss (error) is not minimized. However, this unsettled unbalance (asymmetry) of binary merge drives the infinite growth of binary trees.","PeriodicalId":135438,"journal":{"name":"The Journal of Cognitive Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Why Binary Merge\",\"authors\":\"Koji Arikawa\",\"doi\":\"10.17791/jcs.2016.17.4.499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Linguists have accumulated evidence for binary merge. This paper adds mathematical reason. The computational procedures of human natural language (CHL) choose binary merge because it can contain more information, and lacks optimal balance. Nature organizes network currents to minimize information loss. This is the physical principle of minimal computation (MC). CHL obeys MC. Nature has created CHL in the human brain. Nature has selected binary merge whose balance is not optimal, and information loss (error) is not minimized. However, this unsettled unbalance (asymmetry) of binary merge drives the infinite growth of binary trees.\",\"PeriodicalId\":135438,\"journal\":{\"name\":\"The Journal of Cognitive Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journal of Cognitive Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17791/jcs.2016.17.4.499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Cognitive Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17791/jcs.2016.17.4.499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linguists have accumulated evidence for binary merge. This paper adds mathematical reason. The computational procedures of human natural language (CHL) choose binary merge because it can contain more information, and lacks optimal balance. Nature organizes network currents to minimize information loss. This is the physical principle of minimal computation (MC). CHL obeys MC. Nature has created CHL in the human brain. Nature has selected binary merge whose balance is not optimal, and information loss (error) is not minimized. However, this unsettled unbalance (asymmetry) of binary merge drives the infinite growth of binary trees.