Valuation, Learning, Risk, and Uncertainty

Many of our decisions are guided by computations surrounding value, risk, and uncertainty. Neuroeconomists have therefore been very interested in measuring and quantifying these influences to describe behavioural preferences. This includes creating computational models of drift-diffusion, incorporating naturalistic methods, integrating animal models of economic choice, and examining how preferences can be changed in the absence of reinforcement. This section discusses the role of value, learning, risk, and uncertainty in choice. It brings together the most recent research to provide new insights and methodological approaches, setting the direction for future neuroeconomics research.