| 所在主题: | |
| 文件名: Machine_learning_and_behavioral_economics_for_personalized_choice_architecture.pdf | |
| 资料下载链接地址: https://bbs.pinggu.org/a-3710304.html | |
| 附件大小: | |
|
英文标题:
《Machine learning and behavioral economics for personalized choice architecture》 --- 作者: Emir Hrnjic and Nikodem Tomczak --- 最新提交年份: 2019 --- 英文摘要: Behavioral economics changed the way we think about market participants and revolutionized policy-making by introducing the concept of choice architecture. However, even though effective on the level of a population, interventions from behavioral economics, nudges, are often characterized by weak generalisation as they struggle on the level of individuals. Recent developments in data science, artificial intelligence (AI) and machine learning (ML) have shown ability to alleviate some of the problems of weak generalisation by providing tools and methods that result in models with stronger predictive power. This paper aims to describe how ML and AI can work with behavioral economics to support and augment decision-making and inform policy decisions by designing personalized interventions, assuming that enough personalized traits and psychological variables can be sampled. --- 中文摘要: 行为经济学通过引入选择架构的概念,改变了我们对市场参与者的思考方式,并彻底改变了决策。然而,尽管在人群层面上有效,但行为经济学(nudges)的干预措施在个人层面上挣扎时,往往表现出较弱的概括性。数据科学、人工智能(AI)和机器学习(ML)的最新发展表明,通过提供能够生成具有更强预测能力的模型的工具和方法,可以缓解一些弱泛化问题。本文旨在描述ML和AI如何与行为经济学合作,通过设计个性化干预来支持和增强决策,并为政策决策提供信息,前提是可以抽样足够多的个性化特征和心理变量。 --- 分类信息: 一级分类:Economics 经济学 二级分类:General Economics 一般经济学 分类描述:General methodological, applied, and empirical contributions to economics. 对经济学的一般方法、应用和经验贡献。 -- 一级分类:Computer Science 计算机科学 二级分类:Machine Learning 机器学习 分类描述:Papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. cs.LG is also an appropriate primary category for applications of machine learning methods. 关于机器学习研究的所有方面的论文(有监督的,无监督的,强化学习,强盗问题,等等),包括健壮性,解释性,公平性和方法论。对于机器学习方法的应用,CS.LG也是一个合适的主要类别。 -- 一级分类:Quantitative Finance 数量金融学 二级分类:Economics 经济学 分类描述:q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance q-fin.ec是econ.gn的别名。经济学,包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题 -- --- PDF下载: --> |
|
熟悉论坛请点击新手指南
|
|
| 下载说明 | |
|
1、论坛支持迅雷和网际快车等p2p多线程软件下载,请在上面选择下载通道单击右健下载即可。 2、论坛会定期自动批量更新下载地址,所以请不要浪费时间盗链论坛资源,盗链地址会很快失效。 3、本站为非盈利性质的学术交流网站,鼓励和保护原创作品,拒绝未经版权人许可的上传行为。本站如接到版权人发出的合格侵权通知,将积极的采取必要措施;同时,本站也将在技术手段和能力范围内,履行版权保护的注意义务。 (如有侵权,欢迎举报) |
|
京ICP备16021002号-2 京B2-20170662号
京公网安备 11010802022788号
论坛法律顾问:王进律师
知识产权保护声明
免责及隐私声明