新颖性
钢筋
心理学
强化学习
认知心理学
神经科学
计算机科学
人工智能
社会心理学
作者
A. Houillon,Robert C. Lorenz,Wendelin Böhmer,Michael A. Rapp,Andreas Heinz,Juergen Gallinat,Klaus Obermayer
出处
期刊:Progress in Brain Research
日期:2013-01-01
卷期号:: 415-439
被引量:33
标识
DOI:10.1016/b978-0-444-62604-2.00021-6
摘要
Recent research suggests that novelty has an influence on reward-related learning. Here, we showed that novel stimuli presented from a pre-familiarized category can accelerate or decelerate learning of the most rewarding category, depending on the condition. The extent of this influence depended on the individual trait of novelty seeking. Different reinforcement learning models were developed to quantify subjects' choices. We introduced a bias parameter to model explorative behavior toward novel stimuli and characterize individual variation in novelty response. The theoretical framework allowed us to test different assumptions, concerning the motivational value of novelty. The best fitting-model combined all novelty components and had a significant positive correlation with both the experimentally measured novelty bias and the independent novelty-seeking trait. Altogether, we have not only shown that novelty by itself enhances behavioral responses underlying reward processing, but also that novelty has a direct influence on reward-dependent learning processes, consistently with computational predictions.
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