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时间压力下决策的多维度功能理论解释

MDFT account of decision making under time pressure.

作者信息

Diederich Adele

机构信息

School of Humanities and Social Sciences, International University Bremen, Bremen, Germany.

出版信息

Psychon Bull Rev. 2003 Mar;10(1):157-66. doi: 10.3758/bf03196480.

DOI:10.3758/bf03196480
PMID:12747503
Abstract

In this paper, decision making under time pressure for multiattribute choice alternatives in a risky environment is investigated. A model, multiattribute decision field theory (MDFT), is introduced that describes both the dynamic and the stochastic nature of decision making and accounts for the observed changes in choice probabilities, including preference reversals as a function of time limit. An experiment in which five different time limits were imposed on the decision maker is presented to test the predictions of the model. It is shown that MDFT is able to account for the complex decision behavior observed in the data. Furthermore, MDFT is compared with the predictions of decision field theory (Busemeyer & Townsend, 1993; Roe, Busemeyer, & Townsend, 2001).

摘要

本文研究了在风险环境下,多属性选择方案在时间压力下的决策制定。引入了一个模型——多属性决策场理论(MDFT),该模型描述了决策制定的动态性和随机性,并解释了观察到的选择概率变化,包括作为时间限制函数的偏好逆转。文中呈现了一个对决策者施加五种不同时间限制的实验,以检验该模型的预测。结果表明,MDFT能够解释数据中观察到的复杂决策行为。此外,还将MDFT与决策场理论的预测进行了比较(Busemeyer & Townsend,1993;Roe,Busemeyer,& Townsend,2001)。

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本文引用的文献

1
Decision making under conflict: decision time as a measure of conflict strength.冲突情境下的决策:以决策时间衡量冲突强度
Psychon Bull Rev. 2003 Mar;10(1):167-76. doi: 10.3758/bf03196481.
2
Multialternative decision field theory: a dynamic connectionist model of decision making.多选项决策场理论:一种决策的动态联结主义模型。
Psychol Rev. 2001 Apr;108(2):370-92. doi: 10.1037/0033-295x.108.2.370.
3
Decision making under time pressure: an independent test of sequential sampling models.时间压力下的决策:顺序抽样模型的独立测试
揭示多选项选择背后的计算机制。
Elife. 2021 Apr 6;10:e57012. doi: 10.7554/eLife.57012.
4
Gamble for the needy! Does identifiability enhances donation?为贫困者赌博!可识别性会增强捐赠吗?
PLoS One. 2020 Jun 30;15(6):e0234336. doi: 10.1371/journal.pone.0234336. eCollection 2020.
5
Choice Rules and Accumulator Networks.选择规则与累加器网络
Decision (Wash D C ). 2017 Jul;4(3):146-170. doi: 10.1037/dec0000038. Epub 2015 Jul 27.
6
A Common Mechanism Underlying Food Choice and Social Decisions.食物选择和社会决策背后的共同机制。
PLoS Comput Biol. 2015 Oct 13;11(10):e1004371. doi: 10.1371/journal.pcbi.1004371. eCollection 2015 Oct.
7
Sequential sampling and paradoxes of risky choice.顺序抽样与风险选择的悖论
Psychon Bull Rev. 2014 Oct;21(5):1095-111. doi: 10.3758/s13423-014-0650-1. Epub 2014 Jun 5.
8
A probabilistic, dynamic, and attribute-wise model of intertemporal choice.一种跨期选择的概率性、动态性和属性导向模型。
J Exp Psychol Gen. 2014 Aug;143(4):1489-514. doi: 10.1037/a0035976. Epub 2014 Mar 17.
9
The dynamics of decision making in risky choice: an eye-tracking analysis.风险选择决策的动态:眼动追踪分析。
Front Psychol. 2012 Oct 1;3:335. doi: 10.3389/fpsyg.2012.00335. eCollection 2012.
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The attentional drift-diffusion model extends to simple purchasing decisions.注意力漂移扩散模型可扩展到简单的购买决策。
Front Psychol. 2012 Jun 13;3:193. doi: 10.3389/fpsyg.2012.00193. eCollection 2012.
Mem Cognit. 1999 Jul;27(4):713-25. doi: 10.3758/bf03211564.
4
Dynamic Stochastic Models for Decision Making under Time Constraints.时间限制下决策的动态随机模型
J Math Psychol. 1997 Sep;41(3):260-74. doi: 10.1006/jmps.1997.1167.
5
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Psychol Rev. 1993 Jul;100(3):432-59. doi: 10.1037/0033-295x.100.3.432.
6
Decision making under uncertainty: a comparison of simple scalability, fixed-sample, and sequential-sampling models.不确定性下的决策:简单可扩展性模型、固定样本模型和序贯抽样模型的比较
J Exp Psychol Learn Mem Cogn. 1985 Jul;11(3):538-64. doi: 10.1037//0278-7393.11.3.538.