Psychological Methods Department, University of Amsterdam, Nieuwe Achtergracht 129B, Amsterdam, 1018WS, The Netherlands.
ACT-Next by ACT, 500 ACT Drive, Iowa City, IA, 52245, USA.
Sci Rep. 2020 Oct 1;10(1):16226. doi: 10.1038/s41598-020-73181-2.
People's choices are often found to be inconsistent with the assumptions of rational choice theory. Over time, several probabilistic models have been proposed that account for such deviations from rationality. However, these models have become increasingly complex and are often limited to particular choice phenomena. Here we introduce a network approach that explains a broad set of choice phenomena. We demonstrate that this approach can be used to compare different choice theories and integrates several choice mechanisms from established models. A basic setup implements bounded rationality, loss aversion, and inhibition in a natural fashion, which allows us to predict the occurrence of well-known choice phenomena, such as the endowment effect and the similarity, attraction, compromise, and phantom context effects. Our results show that this network approach provides a simple representation of complex choice behaviour, and can be used to gain a better understanding of how the many choice phenomena and key theoretical principles from different types of decision-making are connected.
人们的选择往往与理性选择理论的假设不一致。随着时间的推移,已经提出了几种概率模型来解释这种理性偏差。然而,这些模型变得越来越复杂,并且通常仅限于特定的选择现象。在这里,我们引入了一种网络方法来解释广泛的选择现象。我们证明,这种方法可用于比较不同的选择理论,并整合了几个来自已有模型的选择机制。一个基本设置以自然的方式实现了有限理性、损失厌恶和抑制,这使我们能够预测众所周知的选择现象的发生,如禀赋效应以及相似性、吸引力、妥协和幻影上下文效应。我们的结果表明,这种网络方法为复杂的选择行为提供了一种简单的表示,并可用于更好地理解不同类型的决策中许多选择现象和关键理论原则是如何相互关联的。