当前位置: X-MOL 学术bioRxiv. Anim. Behav. Cognit. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Comparing utility functions between risky and riskless choice in rhesus monkeys
bioRxiv - Animal Behavior and Cognition Pub Date : 2021-01-14 , DOI: 10.1101/2021.01.12.426382
Philipe M. Bujold , Simone Ferrari-Toniolo , Leo Chi U Seak , Wolfram Schultz

Decisions can be risky or riskless, depending on the outcomes of the choice. Expected Utility Theory describes risky choices as a utility maximization process: we choose the option with the highest utility, which we compute considering both the value of the option and its associated risk. According to the random utility maximization framework, riskless choices could also be based on a utility measure. Neuronal mechanisms of utility-based choice may thus be common to both risky and riskless choices. This assumption would require the existence of a utility function that accounts for both risky and riskless decisions. Here, we investigated whether the choice behavior of macaque monkeys in riskless and risky decisions could be described by a common underlying utility function. We found that the utility functions elicited in the two choice scenarios were different from each other, even after taking into account the contribution of subjective probability weighting. Our results suggest that distinct utility representations exist for riskless and risky choices, which could reflect distinct neuronal representations of the utility quantities, or distinct brain mechanisms for risky and riskless choices. The different utility functions should be taken into account in neuronal investigations of utility-based choice.

中文翻译:

比较恒河猴有风险和无风险选择之间的效用函数

根据选择的结果,决定可能是有风险的还是无风险的。期望效用理论将风险选择描述为效用最大化过程:我们选择效用最高的期权,在计算时会考虑期权的价值及其相关风险。根据随机效用最大化框架,无风险选择也可以基于效用度量。因此,基于效用的选择的神经机制对于有风险和无风险的选择而言可能是共同的。这种假设将要求存在一个效用函数,该函数可解释有风险和无风险的决策。在这里,我们调查了猕猴在无风险和高风险决策中的选择行为是否可以通过一个通用的基础效用函数来描述。我们发现,即使考虑到主观概率加权的贡献,在两个选择方案中引发的效用函数也彼此不同。我们的结果表明,对于无风险和高风险的选择,存在不同的效用表示,这可能反映了效用数量的不同神经元表示,或者对于高风险和无风险的选择而言,存在不同的大脑机制。在基于效用的选择的神经元研究中应考虑不同的效用函数。或有风险和无风险选择的独特大脑机制。在基于效用的选择的神经元研究中应考虑不同的效用函数。或有风险和无风险选择的独特大脑机制。在基于效用的选择的神经元研究中应考虑不同的效用函数。
更新日期:2021-01-15
down
wechat
bug