Problem Solving Flashcards
Problem
Occurs when there is a clear obstacle between a present state and a goal state and when it isn’t immediately obvious how to get around the obstacle
Well-defined problem
Incremental problems (certain procedures, when applied correctly, will lead to solution) Example: math problems
Ill-defined problem
Don’t have just one correct answer
Insight problems
More like problems we encounter in everyday life (example: picking a career)
Path to solution is often unclear
“Aha!” moments (feel totally stuck, then arrive at solution)
Gestalt approach to problem solving
Involves representation and restructuring to arrive at correct solution
Uses insight
Representation
How problem and goal are modeled in one’s mind
Essential piece of Gestalt problem solving
Restructuring
Solving the problem by representing it in a different way
Essential piece of Gestalt problem solving
Difference between incremental and insight problem solving
Measured using warmth ratings (rating how close you feel to solution)
Insight: low warmth ratings, then sudden peak as problem is solved
Incremental: steady increase in warmth ratings
Fixation
Obstacle to problem solving
Tendency to focus on a specific characteristic of the problem, preventing arrival at the solution
Example: elevator riddle (don’t see umbrella as tool for reaching), Duncker’s candle problem (don’t see matchbox as support structure)
Mental set
Preconceived notion about how to approach a problem, which is determined by what has worked in the past
Can be good or bad
Example: Luchin’s water jug problem (can solve last 2 questions more easily than by using formula that works for all questions)
Information processing approach to problem solving
Problem space: intial state (conditions present initially), intermediate state (middle of problem), goal state (solution)
People move through problem space when solving problems
Means-end analysis
Figuring out the path to take through the problem space
Goal: reduce difference between initial and goal states
Set goals and subgoals: take into account initial and goal state
Operators
Rules to complete tasks
Size of problem space and difficulty of task
Difficulty increases as problem space increases
Size of problem space varies depending on how many possible intermediate states exist (example: easier to get “quartz” out of “zuqrat” than to get “mature” out of “taumer”)
Equal problem space doesn’t always mean equal difficulty
What 2 factors lead to problem difficulty?
Size of problem space and knowledge/experience about problem
Mutilated checkerboard problem
Can a checkerboard with 2 corner squares missing be covered by 31 dominos?
4 conditions: blank checkerboard, color (normally appears on a checkerboard), color words, “bread” and “butter”
Longest to figure out: blank
Shortest to figure out: “bread” and “butter”
Problems that relate to everyday experience are faster to solve
Even faster: Russian marriage problem