{"title":"共同进化:特邀编辑介绍","authors":"P. Darwen, X. Yao","doi":"10.1142/S1469026802000452","DOIUrl":null,"url":null,"abstract":"Any sufficiently expressive construction kit — expert systems, decision trees, neural networks, to name a few — with enough design work, can perform practically any set of behaviors. And when the required behaviors are not known, interviewing human experts (if available) is a workable but labor-intensive method.","PeriodicalId":45994,"journal":{"name":"International Journal of Computational Intelligence and Applications","volume":"02 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2002-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1142/S1469026802000452","citationCount":"0","resultStr":"{\"title\":\"CO-EVOLUTION: GUEST EDITORS' INTRODUCTION\",\"authors\":\"P. Darwen, X. Yao\",\"doi\":\"10.1142/S1469026802000452\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Any sufficiently expressive construction kit — expert systems, decision trees, neural networks, to name a few — with enough design work, can perform practically any set of behaviors. And when the required behaviors are not known, interviewing human experts (if available) is a workable but labor-intensive method.\",\"PeriodicalId\":45994,\"journal\":{\"name\":\"International Journal of Computational Intelligence and Applications\",\"volume\":\"02 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2002-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1142/S1469026802000452\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computational Intelligence and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S1469026802000452\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Intelligence and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S1469026802000452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Any sufficiently expressive construction kit — expert systems, decision trees, neural networks, to name a few — with enough design work, can perform practically any set of behaviors. And when the required behaviors are not known, interviewing human experts (if available) is a workable but labor-intensive method.
期刊介绍:
The International Journal of Computational Intelligence and Applications, IJCIA, is a refereed journal dedicated to the theory and applications of computational intelligence (artificial neural networks, fuzzy systems, evolutionary computation and hybrid systems). The main goal of this journal is to provide the scientific community and industry with a vehicle whereby ideas using two or more conventional and computational intelligence based techniques could be discussed. The IJCIA welcomes original works in areas such as neural networks, fuzzy logic, evolutionary computation, pattern recognition, hybrid intelligent systems, symbolic machine learning, statistical models, image/audio/video compression and retrieval.