Department of Psychology, University of Guelph, 50 Stone Road East Guelph, Ontario, Canada N1G 2W1
Faculty of Business Administration, University of Regina, Regina, Canada.
Proc Biol Sci. 2018 Jun 27;285(1881). doi: 10.1098/rspb.2018.0180.
Who takes risks, and when? The proposes two non-independent selection pressures governing risk-taking: need-based and ability-based. The need-based account suggests that actors take risks when they cannot reach target states with low-risk options (consistent with risk-sensitivity theory). The ability-based account suggests that actors engage in risk-taking when they possess traits or abilities that increase the expected value of risk-taking (by increasing the probability of success, enhancing payoffs for success or buffering against failure). Adaptive risk-taking involves integrating both considerations. Risk-takers compute the expected value of risk-taking based on their -the interaction of embodied capital relative to one's situation, to the same individual in other circumstances or to other individuals. We provide mathematical support for this dual pathway model, and show that it can predict who will take the most risks and when (e.g. when risk-taking will be performed by those in good, poor, intermediate or extreme state only). Results confirm and elaborate on the initial verbal model of state-dependent risk-taking: selection favours agents who calibrate risk-taking based on implicit computations of condition and/or competitive (dis)advantage, which in turn drives patterned individual differences in risk-taking behaviour.
谁会冒险,何时冒险?本文提出了两种非独立的风险选择压力:基于需求和基于能力的选择压力。基于需求的解释表明,当行为者无法通过低风险选项达到目标状态时,他们会冒险(与风险敏感性理论一致)。基于能力的解释表明,当行为者具有增加风险选择预期价值的特质或能力时,他们会冒险(通过增加成功的概率、提高成功的回报或缓冲失败的影响)。适应性风险选择涉及整合这两个方面。风险承担者根据他们的情况、其他情况下的相同个体或其他个体的身体资本相对于自身情况的交互作用,计算风险选择的预期价值。我们为这种双重途径模型提供了数学支持,并表明它可以预测谁将承担最大的风险以及何时(例如,仅当处于良好、较差、中等或极端状态的个体才会进行风险承担)。结果证实并详细阐述了基于状态的风险承担的初始口头模型:选择有利于根据条件和/或竞争(劣势)的隐性计算来调整风险承担的代理人,这反过来又导致风险承担行为的个体差异呈现出模式化。