Topic 2.2 Thinking, Problem-Solving, Judgments, and Decision-Making: explain concepts and prototypes, problem-solving strategies, and the heuristics and biases that shape judgment.

What this topic is asking

Topic 2.2 asks how people think, solve problems, and make decisions, and why these processes go wrong. The College Board wants you to explain concepts and prototypes, contrast algorithms with heuristics, describe insight and the obstacles of fixation, and identify the biases (availability, representativeness, anchoring, framing, confirmation bias) that distort judgment.

Concepts and prototypes

A robin is a better prototype of "bird" than a penguin, so we categorize a robin as a bird faster. Prototypes speed thinking but can mislead when an item is atypical.

Problem-solving strategies

We rely on heuristics because algorithms are often too slow for everyday life. The trade-off is speed for occasional error.

Obstacles to problem-solving

Several mental habits block good solutions:

• Fixation: an inability to see a problem from a fresh perspective.
• Functional fixedness: seeing objects only in their usual function (for example not realizing a coin could be used as a screwdriver).
• Mental set: a tendency to approach a problem the way that worked before, even when it no longer fits.
• Confirmation bias: seeking evidence that confirms existing beliefs and ignoring contradictory evidence.

Heuristics and biases in judgment

The exam expects detailed knowledge of the main judgment biases:

• Availability heuristic: judging the likelihood of events by how easily examples come to mind; vivid or recent events seem more common.
• Representativeness heuristic: judging the likelihood by how well something matches a prototype, often ignoring base rates.
• Anchoring: relying too heavily on the first piece of information when making judgments.
• Framing: how a choice is worded changes the decision (for example "90 percent survive" versus "10 percent die").
• Overconfidence: overestimating the accuracy of our own judgments.
• Belief perseverance: clinging to beliefs even after the evidence for them is discredited.

These ideas matter because they reveal a fundamental tension in human cognition: the mental shortcuts that make us fast and efficient are the same ones that make us systematically biased. Heuristics evolved because, most of the time, judging by ease of recall or resemblance gives good-enough answers quickly, and an organism cannot run an exhaustive algorithm before every decision. But in a modern world of statistics, advertising, and media, those shortcuts misfire in predictable ways, which is why people fear rare vivid dangers more than common quiet ones (availability) and why the framing of a question can flip a decision. For the exam, the skill is recognizing the cognitive process behind a scenario: name whether the person is using a concept, an algorithm, a heuristic, or falling into a specific bias, and explain how it shapes the outcome.

Try this

Q1. Distinguish an algorithm from a heuristic. [2 points]

• Cue. An algorithm is a step-by-step method that guarantees a solution but can be slow; a heuristic is a fast mental shortcut that is usually effective but does not guarantee correctness.

Q2. Explain how the framing of a medical choice could change a patient's decision. [1 point]

• Cue. Framing the same outcome positively ("90 percent survive") versus negatively ("10 percent die") changes how risky the option feels and so changes the decision.