概化理论
妥协
独立性(概率论)
背景(考古学)
相似性(几何)
强化学习
集合(抽象数据类型)
心理学
任务(项目管理)
认知心理学
语境效应
认知
选择集
人工智能
社会心理学
计算机科学
计量经济学
数学
统计
发展心理学
经济
几何学
程序设计语言
管理
社会科学
神经科学
古生物学
社会学
图像(数学)
词(群论)
生物
作者
Mikhail S. Spektor,Sebastian Gluth,Laura Fontanesi,Jörg Rieskamp
出处
期刊:Psychological Review
[American Psychological Association]
日期:2019-01-01
卷期号:126 (1): 52-88
被引量:55
摘要
Traditional theories of decision making require that humans evaluate choice options independently of each other. The independence principle underlying this notion states that the relative choice probability of two options should be independent of the choice set. Previous research demonstrated systematic violations of this principle in decisions from description (context effects), leading to the development of various models explaining them. Yet, the cognitive processes underlying multi-alternative decisions from experience remain unclear. Furthermore, it is not known whether context effects also occur in such decisions, and existing learning models do not predict them. In three experiments, the similarity effect, compromise effect, and attraction effect were explored in a 3-armed bandit task with full feedback. Participants' behavior systematically violated the independence principle, although mostly not in line with past context-effect patterns in decisions from description. The observed similarity effect and the reversals of the compromise and the attraction effects can be explained by a similarity mechanism, according to which options with similar outcomes appear less attractive. We propose the accentuationof-differences model that relies on this mechanism. We further validated the model in a fourth experiment in which we demonstrated a new violation of independence, the accentuation effect. Across all experiments, the model outperformed traditional reinforcement-learning models in describing the observed findings. Finally, the model's generalizability was confirmed using the Iowa gambling task. In summary, the present work is the first to demonstrate systematic violations of the independence principle in various decisions-from-experience designs and to offer a model to explain the observed phenomena.
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