{"title":"Four Way Human Quantum Turiyam Cognition Analysis","authors":"Prem Kumar Singh","doi":"10.37965/jait.2022.0123","DOIUrl":null,"url":null,"abstract":"Recently, the Turiyam set was introduced for characterization of data sets beyond true, false and uncertain regions. This set is able to represent unknown, undefined, or conduit metaphor of human quantum cognition. One of the examples is USA-Russia conflicts or Cold war is beyond the characterization of win, draw or loss. It is totally based on the conduit metaphor of USA and Russia. In this case, a set of countries may support Russia (Sr) can be characterized as true regions. A set of countries does not support Russia (i.e. supporting the USA) can be characterized as false regions (Su). A set of countries supports both Russia-USA based on the given situation. These types of countries and their vote is uncertain. The fourth case is some countries like India, China, UAE choose nothing to fulfill their conduit metaphor. It is called Turiyam or four dimension cognition. The characterization of this four dimension data and its graphical visualization is one of the crucial tasks for the current researchers. To tackle this issue, the current paper will try to introduce a method for characterization of this undefined, unknown or Turiyam cognition via a defined interval-set. The objective is to provide a way to explore them in known graph (t), not known graph (f), partial graph (i) or unknown graph (l) with an example. ","PeriodicalId":70996,"journal":{"name":"人工智能技术学报(英文)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"人工智能技术学报(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.37965/jait.2022.0123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, the Turiyam set was introduced for characterization of data sets beyond true, false and uncertain regions. This set is able to represent unknown, undefined, or conduit metaphor of human quantum cognition. One of the examples is USA-Russia conflicts or Cold war is beyond the characterization of win, draw or loss. It is totally based on the conduit metaphor of USA and Russia. In this case, a set of countries may support Russia (Sr) can be characterized as true regions. A set of countries does not support Russia (i.e. supporting the USA) can be characterized as false regions (Su). A set of countries supports both Russia-USA based on the given situation. These types of countries and their vote is uncertain. The fourth case is some countries like India, China, UAE choose nothing to fulfill their conduit metaphor. It is called Turiyam or four dimension cognition. The characterization of this four dimension data and its graphical visualization is one of the crucial tasks for the current researchers. To tackle this issue, the current paper will try to introduce a method for characterization of this undefined, unknown or Turiyam cognition via a defined interval-set. The objective is to provide a way to explore them in known graph (t), not known graph (f), partial graph (i) or unknown graph (l) with an example.