Which problem-solving strategy is typically faster but can lead to more errors?

The correct answer is heuristic. A heuristic is a mental shortcut that allows individuals to make judgments and solve problems quickly and efficiently. While this strategy can be very effective in a range of situations by reducing the cognitive load and time needed to arrive at a solution, it increases the likelihood of errors because it simplifies complex problems. Heuristics rely on general rules of thumb, intuition, or past experiences, which may not always apply accurately to the specific situation at hand.

In contrast, algorithms are step-by-step procedures or formulas for solving problems that guarantee a correct solution if applied correctly, but they can be time-consuming and may require more cognitive effort. Deductive reasoning involves using established principles to arrive at logically certain conclusions, while inductive reasoning focuses on making broad generalizations from specific observations. Both of these reasoning methods are generally more structured and systematic than heuristics, making them less prone to error but also more time-consuming.

Heuristics serve as a valuable option when speed is essential, such as in decisions made under pressure, even if that means accepting a higher risk of making mistakes.