The Role of Passing Time in Decision-Making

被引:28
作者
Evans, Nathan J. [1 ]
Hawkins, Guy E. [2 ]
Brown, Scott D. [2 ]
机构
[1] Univ Amsterdam, Dept Psychol, Achtergracht 129-B, NL-1018 VZ Amsterdam, Netherlands
[2] Univ Newcastle, Sch Psychol, Callaghan, NSW, Australia
基金
澳大利亚研究理事会;
关键词
decision making; collapsing thresholds; diffusion model; Bayesian hierarchical modeling; DIFFUSION-MODEL; EVIDENCE ACCUMULATION; BOUNDARY OPTIMALITY; URGENCY SIGNALS; RESPONSE-TIMES; BAYES FACTORS; ACCURACY; SPEED; COMPLEXITY; PARAMETER;
D O I
10.1037/xlm0000725
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Theories of perceptual decision making have been dominated by the idea that evidence accumulates in favor of different alternatives until some fixed threshold amount is reached, which triggers a decision. Recent theories have suggested that these thresholds may not be fixed during each decision but change as time passes. These collapsing, thresholds can improve performance in particular decision environments, but reviews of data from typical decision-making paradigms have failed to support collapsing thresholds. We designed three experiments to test collapsing threshold assumptions in decision environments specifically tailored to make them optimal. An emphasis on decision speed encouraged the adoption of collapsing thresholds-most strongly through the use of response deadlines but also through instruction to a lesser extent-but setting an explicit goal of reward rate optimality through both instructions and task design did not. Our results suggest that collapsing thresholds models of decision-making are inconsistent with human behaviour even in some situations where there are normative motivations for these models.
引用
收藏
页码:316 / 326
页数:11
相关论文
共 59 条
  • [1] NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION
    AKAIKE, H
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) : 716 - 723
  • [2] Acquisition of decision making criteria: reward rate ultimately beats accuracy
    Balci, Fuat
    Simen, Patrick
    Niyogi, Ritwik
    Saxe, Andrew
    Hughes, Jessica A.
    Holmes, Philip
    Cohen, Jonathan D.
    [J]. ATTENTION PERCEPTION & PSYCHOPHYSICS, 2011, 73 (02) : 640 - 657
  • [3] The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks
    Bogacz, Rafal
    Brown, Eric
    Moehlis, Jeff
    Holmes, Philip
    Cohen, Jonathan D.
    [J]. PSYCHOLOGICAL REVIEW, 2006, 113 (04) : 700 - 765
  • [4] An integrated model of choices and response times in absolute identification
    Brown, Scott D.
    Marley, A. A. J.
    Donkin, Christopher
    Heathcote, Andrew
    [J]. PSYCHOLOGICAL REVIEW, 2008, 115 (02) : 396 - 425
  • [5] Decisions in Changing Conditions: The Urgency-Gating Model
    Cisek, Paul
    Puskas, Genevieve Aude
    El-Murr, Stephany
    [J]. JOURNAL OF NEUROSCIENCE, 2009, 29 (37) : 11560 - 11571
  • [6] Stochastic models of decisions about motion direction: Behavior and physiology
    Ditterich, Jochen
    [J]. NEURAL NETWORKS, 2006, 19 (08) : 981 - 1012
  • [7] Evidence for time-variant decision making
    Ditterich, Jochen
    [J]. EUROPEAN JOURNAL OF NEUROSCIENCE, 2006, 24 (12) : 3628 - 3641
  • [8] Donkin C., 2018, Stevens handbook of experimental psychology and cognitive neuroscience, V5, P1, DOI DOI 10.1002/9781119170174.EPCN509
  • [9] The Cost of Accumulating Evidence in Perceptual Decision Making
    Drugowitsch, Jan
    Moreno-Bote, Ruben
    Churchland, Anne K.
    Shadlen, Michael N.
    Pouget, Alexandre
    [J]. JOURNAL OF NEUROSCIENCE, 2012, 32 (11) : 3612 - 3628
  • [10] A method, framework, and tutorial for efficiently simulating models of decision-making
    Evans, Nathan J.
    [J]. BEHAVIOR RESEARCH METHODS, 2019, 51 (05) : 2390 - 2404