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逆决策偏好的学习方法的评价

Evaluating the inverse decision-making approach to preference learning
课程网址: http://videolectures.net/nips2011_jern_preference/  
主讲教师: Alan Jern
开课单位: 卡内基梅隆大学
开课时间: 2012-09-16
课程语种: 英语
中文简介:
心理学家最近开始开发计算账户,说明人们如何从他们的行为中推断他人的偏好。反向决策方法提出人们通过颠倒决策的生成模型来推断偏好。但是,现有数据集无法提供足够的分辨率来彻底评估这种方法。我们引入了一个新的偏好学习任务,它为评估计算账户提供了一个基准,并用它来将逆向决策方法与基于特征的方法进行比较,该方法依赖于决策特征的判别组合。我们的数据支持偏好学习的反向决策方法。
课程简介: Psychologists have recently begun to develop computational accounts of how people infer others' preferences from their behavior. The inverse decision-making approach proposes that people infer preferences by inverting a generative model of decision-making. Existing data sets, however, do not provide sufficient resolution to thoroughly evaluate this approach. We introduce a new preference learning task that provides a benchmark for evaluating computational accounts and use it to compare the inverse decision-making approach to a feature-based approach, which relies on a discriminative combination of decision features. Our data support the inverse decision-making approach to preference learning.
关 键 词: 逆决策方法; 偏好的学习任务; 反决策偏好
课程来源: 视频讲座网
最后编审: 2020-06-28:yumf
阅读次数: 58