期刊
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
卷 369, 期 1655, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rstb.2013.0480
关键词
reinforcement learning; goal-directed behaviour; hierarchy
类别
资金
- National Science Foundation (CRCNS) [1207833]
- James S. McDonnell Foundation
- John Templeton Foundation
- Direct For Computer & Info Scie & Enginr
- Div Of Information & Intelligent Systems [1207833] Funding Source: National Science Foundation
Recent work has reawakened interest in goal-directed or 'model-based' choice, where decisions are based on prospective evaluation of potential action outcomes. Concurrently, there has been growing attention to the role of hierarchy in decision-making and action control. We focus here on the intersection between these two areas of interest, considering the topic of hierarchical model-based control. To characterize this form of action control, we draw on the computational framework of hierarchical reinforcement learning, using this to interpret recent empirical findings. The resulting picture reveals how hierarchical model-based mechanisms might play a special and pivotal role in human decision-making, dramatically extending the scope and complexity of human behaviour.
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