Cognitive Processes and Problem Solving Quiz

Problem-solving entails finding solutions to specific issues.

Algorithms help systematically approach and solve problems.

Ignoring the problem is not a step in the problem-solving process.

Divide and Conquer involves breaking problems into smaller parts.

Functional fixedness limits seeing objects beyond their typical functions.

Trial and error involves guessing solutions until finding the correct one.

Mental set is the tendency to solve problems using previously successful methods.

Convergent thinking seeks one correct answer, while divergent generates multiple solutions.

Using familiar methods for similar problems is a mental set.

Functional fixedness restricts seeing objects beyond their typical functions.

Mental models aid in understanding and solving problems by representing how things work.

Following a recipe exemplifies an algorithm in action.

Problem space refers to the mental representation of a problem and its solutions.

Means-end analysis starts from the goal, while working backwards starts from the initial state.

Confirmation bias leads to ignoring information conflicting with preconceptions.

Creativity fosters innovative problem-solving solutions.

Heuristics involve using rules of thumb for quick decisions.

Insight brings sudden realizations of problem solutions.

Using tools beyond their intended purposes demonstrates functional fixedness.

Availability heuristic estimates likelihood based on ease of recall.

Intuition offers valuable insights, particularly in complex scenarios.

Representativeness heuristic judges probability based on similarity to typical examples.

Analogical thinking draws parallels between similar situations to solve problems.

Using the first offer as a reference point is an example of the anchoring heuristic.

Functional fixedness obstructs insight problem-solving.