对象(语法)
选择(遗传算法)
基于对象
计算机科学
认知心理学
人工智能
心理学
作者
Douglas A. Addleman,Reshma Rajasingh,Viola S. Störmer
摘要
People excel at learning the statistics of their environments. For instance, people rapidly learn to pay attention to locations that frequently contain visual search targets. Here, we investigated how frequently finding specific objects as search targets influences attentional selection during real-world object search. We investigated how learning that a specific object (e.g., a coat) is task-relevant affects searching for that object and whether a previously frequent target would influence search more broadly for all items of that target's category (e.g., all coats). Across five experiments, one or more objects from a single category were likely targets during a training phase, after which objects from many categories became equally likely to be targets in a neutral testing phase. Participants learned to find a single frequent target object faster than other objects (Experiment 1,
科研通智能强力驱动
Strongly Powered by AbleSci AI