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
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