代表性启发
认知
现存分类群
启发式
频率
相似性(几何)
认知心理学
心理学
计算机科学
启发式
人工智能
统计
数学
社会心理学
图像(数学)
操作系统
进化生物学
生物
神经科学
作者
Håkan Nilsson,Henrik Olsson,Peter Juslin
标识
DOI:10.1037/0278-7393.31.4.600
摘要
The prominent cognitive theories of probability judgment were primarily developed to explain cognitive biases rather than to account for the cognitive processes in probability judgment. In this article the authors compare 3 major theories of the processes and representations in probability judgment: the representativeness heuristic, implemented as prototype similarity, relative likelihood, or evidential support accumulation (ESAM; D. J. Koehler, C. M. White, & R. Grondin, 2003); cue-based relative frequency; and exemplar memory, implemented by probabilities from exemplars (PROBEX; P. Juslin & M. Persson, 2002). Three experiments with different task structures consistently demonstrate that exemplar memory is the best account of the data whereas the results are inconsistent with extant formulations of the representativeness heuristic and cue-based relative frequency.
科研通智能强力驱动
Strongly Powered by AbleSci AI