{"title":"人工智能与行为经济学","authors":"Colin Camerer","doi":"10.7208/chicago/9780226613475.003.0024","DOIUrl":null,"url":null,"abstract":"This paper describes 2-1/2 highly speculative ideas about how artificial intelligence (AI) and behavioral economics may interact, particular in future developments in the economy and in research frontiers. First note that I’ll use the terms AI and machine learning (ML) interchangeably (although AI is broader) because the examples I have in mind all involve ML and prediction. A good introduction to ML for economists is Mullainathan and Spiess (2017).","PeriodicalId":409347,"journal":{"name":"The Economics of Artificial Intelligence","volume":"139 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":"{\"title\":\"Artificial Intelligence and Behavioral Economics\",\"authors\":\"Colin Camerer\",\"doi\":\"10.7208/chicago/9780226613475.003.0024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes 2-1/2 highly speculative ideas about how artificial intelligence (AI) and behavioral economics may interact, particular in future developments in the economy and in research frontiers. First note that I’ll use the terms AI and machine learning (ML) interchangeably (although AI is broader) because the examples I have in mind all involve ML and prediction. A good introduction to ML for economists is Mullainathan and Spiess (2017).\",\"PeriodicalId\":409347,\"journal\":{\"name\":\"The Economics of Artificial Intelligence\",\"volume\":\"139 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"43\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Economics of Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7208/chicago/9780226613475.003.0024\",\"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 Economics of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7208/chicago/9780226613475.003.0024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes 2-1/2 highly speculative ideas about how artificial intelligence (AI) and behavioral economics may interact, particular in future developments in the economy and in research frontiers. First note that I’ll use the terms AI and machine learning (ML) interchangeably (although AI is broader) because the examples I have in mind all involve ML and prediction. A good introduction to ML for economists is Mullainathan and Spiess (2017).