{"title":"不适用性原则:混沌对社会科学意味着什么","authors":"R. David Smith","doi":"10.1002/bs.3830400105","DOIUrl":null,"url":null,"abstract":"<p>Some basic terms in chaos theory are reviewed and some of their broad possible implications for Galilean science are briefly discussed. The main conclusion is that there are regions of scientific research within which the Galilean Principles of Model Building, the extensive use of prediction for refining and testing, do not apply. Some consequences are explored, notably that while social science may be possible, social engineering is a much more dubious enterprise.</p>","PeriodicalId":75578,"journal":{"name":"Behavioral science","volume":"40 1","pages":"22-40"},"PeriodicalIF":0.0000,"publicationDate":"1995-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/bs.3830400105","citationCount":"25","resultStr":"{\"title\":\"The inapplicability principle: What chaos means for social science\",\"authors\":\"R. David Smith\",\"doi\":\"10.1002/bs.3830400105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Some basic terms in chaos theory are reviewed and some of their broad possible implications for Galilean science are briefly discussed. The main conclusion is that there are regions of scientific research within which the Galilean Principles of Model Building, the extensive use of prediction for refining and testing, do not apply. Some consequences are explored, notably that while social science may be possible, social engineering is a much more dubious enterprise.</p>\",\"PeriodicalId\":75578,\"journal\":{\"name\":\"Behavioral science\",\"volume\":\"40 1\",\"pages\":\"22-40\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/bs.3830400105\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavioral science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/bs.3830400105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral science","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bs.3830400105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The inapplicability principle: What chaos means for social science
Some basic terms in chaos theory are reviewed and some of their broad possible implications for Galilean science are briefly discussed. The main conclusion is that there are regions of scientific research within which the Galilean Principles of Model Building, the extensive use of prediction for refining and testing, do not apply. Some consequences are explored, notably that while social science may be possible, social engineering is a much more dubious enterprise.