Totally model-free learned skillful coping

被引:0
作者
Dreyfus, Stuart E. [1 ,2 ]
机构
[1] University of California, Berkeley
[2] Department of Industrial Engineering, University of California, Berkeley
关键词
Intuitive expertise; Model free; Neural network; Reinforcement learning;
D O I
10.1177/0270467604264813
中图分类号
学科分类号
摘要
The author proposes a neural-network-based explanation of how a brain might acquire intuitive expertise. The explanation is intended merely to be suggestive and lacks many complexities found in even lower animal brains. Yet significantly, even this simplified brain model is capable of explaining the acquisition of simple skills without developing articulable rules for behavior or a model of the skill domain or an explicit identification of which observables in the environment are necessary for skillful behavior. Furthermore, no memories of prior experiences during the learning phase are explicitly stored and accessed during behavior. The explanation thus calls into doubt many conventional and intuitively reasonable assumptions concerning the learning and production of intuitive expertise.
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页码:182 / 187
页数:5
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