Psychology Department,The Ohio State University,Columbus,OH
Psychology Department,Stanford University,Stanford,CA
Behav Brain Sci. 2018 Jan;41:e246. doi: 10.1017/S0140525X18001334.
We agree with the authors that putting forward specific models and examining their agreement with experimental data are the best approach for understanding the nature of decision making. Although the authors only consider the likelihood function, prior, cost function, and decision rule (LPCD) framework, other choices are available. Bayesian statistics can be used to estimate essential parameters and assess the degree of optimality.
我们同意作者的观点，即提出具体模型并检验它们与实验数据的一致性是理解决策本质的最佳方法。尽管作者仅考虑了似然函数、先验、代价函数和决策规则（LPCD）框架，但也有其他选择。贝叶斯统计学可用于估计基本参数并评估最优程度。
