新颖性
任务(项目管理)
利用
计算机科学
合并
搜索引擎索引
人工智能
平衡(能力)
机器学习
神经科学
心理学
经济
哲学
管理
认识论
社会心理学
计算机安全
作者
Jeffrey Cockburn,Vincent Man,William A. Cunningham,John P. O’Doherty
出处
期刊:Neuron
[Elsevier]
日期:2022-08-01
卷期号:110 (16): 2691-2702.e8
被引量:35
标识
DOI:10.1016/j.neuron.2022.05.025
摘要
Both novelty and uncertainty are potent features guiding exploration; however, they are often experimentally conflated, and an understanding of how they interact to regulate the balance between exploration and exploitation has proved elusive. Using a task designed to decouple the influence of novelty and uncertainty, we identify separable mechanisms through which exploration is directed. We show that uncertainty-directed exploration is sensitive to the prospective benefit offered by new information, whereas novelty-directed exploration is maintained regardless of its potential advantage. Using a computational framework in conjunction with fMRI, we show that uncertainty-directed choice is rooted in an adaptive bias indexing the prospective utility of exploration. In contrast, novelty persistently promotes exploration by optimistically inflating reward expectations while simultaneously dampening uncertainty signals. Our results identify separable neural substrates charged with balancing the explore/exploit trade-off to foster a manageable decomposition of an otherwise intractable problem.
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