显著性(神经科学)
推论
心理学
启发式
理性
归纳推理
感知
认知心理学
启发式
选择(遗传算法)
任务(项目管理)
分析推理
背景(考古学)
演绎推理
认知科学
人工智能
认识论
计算机科学
操作系统
哲学
古生物学
经济
神经科学
管理
生物
作者
Jonathan St. B. T. Evans
标识
DOI:10.1111/j.2044-8295.1984.tb01915.x
摘要
A general two‐stage theory of human inference is proposed. A distinction is drawn between heuristic processes which select items of task information as ‘relevant’, and analytic processes which operate on the selected items to generate inferences or judgements. These two stages are illustrated in a selective review of work on both deductive and statistical reasoning. Factors identified as contributing to heuristic selection include perceptual salience, linguistic suppositions and semantic associations. Analytic processes are considered to be context dependent: people reason from experience, not from inference rules. The paper includes discussion of the theory in comparison with other contemporary theories of human inference, and in relation to the current debate about human rationality.
科研通智能强力驱动
Strongly Powered by AbleSci AI