Human inference reflects a normative balance of complexity and accuracy.
Human inference reflects a normative balance of complexity and accuracy.
复制标题
DOI：
10.1038/s41562-022-01357-z
复制
发表时间：
2022-08
影响因子：
29.9
通讯作者：
Gold, Joshua, I
中科院分区：
文献类型：
--
作者：
Tavoni, Gaia;Doi, Takahiro;Pizzica, Chris;Balasubramanian, Vijay;Gold, Joshua, I
We must often infer latent properties of the world from noisy and changing observations. Complex, probabilistic approaches to this challenge such as Bayesian inference are accurate but cognitively demanding, relying on extensive working memory and adaptive processing. Simple heuristics are easy to implement but may be less accurate. What is the appropriate balance between complexity and accuracy? Here, we model a hierarchy of strategies of variable complexity and find a power law of diminishing returns: increasing complexity gives progressively smaller gains in accuracy. The rate of diminishing returns depends systematically on the statistical uncertainty in the world, such that complex strategies do not provide substantial benefits over simple ones when uncertainty is either too high or too low. In between, there is a complexity dividend. In two psychophysical experiments, we confirm specific model predictions about how working memory and adaptivity should be modulated by uncertainty.
登录
查看更多内容
影响因子：
10.6
作者：
Cools, Roshan;D'Esposito, Mark
通讯作者：
D'Esposito, Mark
影响因子：
2.5
作者：
Barron, A;Rissanen, J;Yu, B
通讯作者：
Yu, B
影响因子：
7.2
作者：
Griffiths, Thomas L.;Vul, Edward;Sanborn, Adam N.
通讯作者：
Sanborn, Adam N.
影响因子：
16.2
作者：
Gläscher, J;Büchel, C;Nord, N
通讯作者：
Nord, N
影响因子：
16.2
作者：
Arnsten AF;Wang MJ;Paspalas CD
通讯作者：
Paspalas CD