Fast decisions reflect biases; slow decisions do not

被引:0
|
作者
Linn, Samantha [1 ]
Lawley, Sean D. [1 ]
Karamched, Bhargav R. [2 ,3 ,4 ]
Kilpatrick, Zachary P. [5 ]
Josic, Kresimir [6 ,7 ]
机构
[1] Univ Utah, Dept Math, Salt Lake City, UT 84112 USA
[2] Florida State Univ, Dept Math, Tallahassee, FL 32306 USA
[3] Florida State Univ, Inst Mol Biophys, Tallahassee, FL 32306 USA
[4] Florida State Univ, Program Neurosci, Tallahassee, FL 32306 USA
[5] Univ Colorado, Dept Appl Math, Boulder, CO 80309 USA
[6] Univ Houston, Dept Math, Houston, TX 77004 USA
[7] Univ Houston, Dept Biol & Biochem, Houston, TX 77004 USA
关键词
EVIDENCE ACCUMULATION; SIMPLE-MODEL; CASCADES; DYNAMICS; CHOICE; SPEED; BRAIN;
D O I
10.1103/PhysRevE.110.024305
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
Decisions are often made by heterogeneous groups of individuals, each with distinct initial biases and access to information of different quality. We show that in groups of independent agents who accumulate evidence the first to decide are those with the strongest initial biases. Their decisions align with their initial bias, regardless of the underlying truth. In contrast, agents who decide last make decisions as if they were initially unbiased and hence make better choices. We obtain asymptotic expressions in the large population limit quantifying how agents' initial inclinations shape early decisions. Our analysis shows how bias, information quality, and decision order interact in nontrivial ways to determine the reliability of decisions in a group.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Do Biases Related to Geographical Location Influence Work-Related Decisions in GitHub?
    Rastogi, Ayushi
    2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING COMPANION (ICSE-C), 2016, : 665 - 667
  • [22] Interlinked fast and slow positive feedback loops drive reliable cell decisions
    Brandman, O
    Ferrett, JE
    Li, R
    Meyer, T
    SCIENCE, 2005, 310 (5747) : 496 - 498
  • [23] Slow-Rolling, Fast-Tracking, and the Pace of Bureaucratic Decisions in Rulemaking
    Potter, Rachel Augustine
    JOURNAL OF POLITICS, 2017, 79 (03): : 841 - 855
  • [24] Adaptable history biases in human perceptual decisions
    Abrahamyan, Arman
    Silva, Laura Luz
    Dakin, Steven C.
    Carandini, Matteo
    Gardner, Justin L.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (25) : E3548 - E3557
  • [25] A systematic review of cognitive biases in tourist decisions
    Wattanacharoensil, Walanchalee
    La-ornual, Dolchai
    TOURISM MANAGEMENT, 2019, 75 : 353 - 369
  • [26] Memory Biases Drive Decisions from Experience
    Madan, Christopher R.
    Ludvig, Elliot A.
    Spetch, Marcia L.
    CANADIAN JOURNAL OF EXPERIMENTAL PSYCHOLOGY-REVUE CANADIENNE DE PSYCHOLOGIE EXPERIMENTALE, 2013, 67 (04): : 286 - 286
  • [27] Knowledge of Social Affiliations Biases Economic Decisions
    Martinez, Joel E.
    Mack, Michael L.
    Gelman, Bernard D.
    Preston, Alison R.
    PLOS ONE, 2016, 11 (07):
  • [28] Reviewer selection biases editorial decisions on manuscripts
    Hausmann, Laura
    Schweitzer, Barbara
    Middleton, Frank A.
    Schulz, Joerg B.
    JOURNAL OF NEUROCHEMISTRY, 2018, 146 (01) : 21 - 46
  • [29] Attention biases decisions but does not alter appearance
    Schneider, Keith A.
    Komlos, Marcell
    JOURNAL OF VISION, 2008, 8 (15):
  • [30] MANAGEMENT ILLUSIONS AND BIASES - THEIR IMPACT ON STRATEGIC DECISIONS
    SCHWENK, CR
    LONG RANGE PLANNING, 1985, 18 (05) : 74 - 80