How do we decide what to do, and how do we decide what to believe? In the study of psychology and cognitive science, researchers approach these questions through two distinct lenses: normative models and descriptive models. Normative models act as a gold standard, defining how an individual should act or think to achieve optimal accuracy and efficacy. Descriptive models, conversely, aim to document what humans actually do, uncovering the psychological mechanisms and patterns that drive real-world behavior.
The Framework of Rationality
To understand the gap between these two models, we must first define rationality. Cognitive scientists generally divide rationality into two categories: epistemic rationality (what is true) and instrumental rationality (what to do).
- Epistemic Rationality: This concerns how well our beliefs map onto the actual structure of the world. A rational believer uses evidence and reasoning to form beliefs that are properly calibrated to reality.
- Instrumental Rationality: Often called "practical rationality," this focuses on the optimization of goal fulfillment. It asks: "Given my resources and my goals, what is the best action to take?".
Exam Tip: Remember that being "rational" does not mean you are always right. It means you use the best available evidence to reach your goals and are willing to update your beliefs when new evidence appears.
Normative Models: Expected Utility and Choice
In normative decision science, the goal is to maximize Subjective Expected Utility (SEU). While many people confuse this with "expected value," there is a critical distinction. Expected value is a purely mathematical calculation: However, humans do not value money in linear increments. The "utility" (the subjective worth or desirability) of an extra $100 is much higher for a person with zero dollars than for a billionaire. Therefore, SEU provides a more generalized and accurate model for optimal choice by accounting for these subjective differences in worth.
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