Artificial Intelligence Programming Practice Exam 2025 - Free AI Programming Practice Questions and Study Guide

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What characterizes a rational agent?

An agent that acts randomly

An agent that always achieves the best outcome under all circumstances

An agent that maximizes expected outcomes in uncertain situations

A rational agent is best characterized by its ability to maximize expected outcomes in uncertain situations. This means that the agent utilizes the information it has at its disposal to evaluate potential actions based on their expected results. In the context of decision-making, such an agent strives to choose actions that are likely to lead to the most favorable outcomes, balancing risks and uncertainties inherent to the environment.

This concept of maximizing expected outcomes is fundamental to artificial intelligence and decision theory. Rational agents weigh the probabilities of different states and the potential rewards associated with their choices, thereby making informed decisions that enhance their chances of success based on the available evidence.

The emphasis on maximizing expected outcomes distinguishes rational agents from others that may act randomly, make suboptimal decisions, or ignore critical information, thus not achieving the most favorable results.

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An agent that disregards available information in decision-making

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