Artificial Intelligence Programming Practice Exam 2026 - Free AI Programming Practice Questions and Study Guide

The correct answer, decision theory, is a comprehensive framework that integrates probability theory and utility theory to facilitate decision-making in uncertain environments.

Probability theory allows decision-makers to quantify the uncertainty associated with different outcomes, helping them to assess the likelihood of various events occurring. This is particularly valuable in scenarios where the outcomes may be unpredictable, as it enables the evaluation of risk and the expectation of different options.

Utility theory, on the other hand, provides a way to incorporate the decision-maker’s preferences and values into the decision-making process. It allows for the evaluation of the desirability of different outcomes based on personal or societal preferences, enabling individuals to make choices that align with their goals and risk tolerance.

By combining these two elements, decision theory provides a structured approach for making informed choices in situations where the outcomes are uncertain and the stakes may vary. It helps to formalize the process of weighing the expected utility of different actions based on their associated probabilities, leading to more rational and effective decision-making.

The other options do not sufficiently combine probability and utility in the same way. Neuroscience focuses on the biological basis of decision-making processes, satisficing refers to a strategy of aiming for a satisfactory solution rather than the optimal one, and game theory analyzes strategic interactions between