Key Points
Most problems are ill defined. Most studies of problem solving use well-defined goals.
To solve an ill-defined problem, we have to clarify the goal even as we are trying to achieve it, rather than keeping the goal constant.
Experience is needed to make a variety of judgments, ranging from identifying opportunities to gauging the solvability of a problem.
Artificial tasks do not require domain experience to arrive at solutions, and classical accounts usually ignore opportunities.
Experienced problem solvers can distinguish genuine anomalies from transients. Artificial tasks give the problem to subjects, thereby ignoring the process of problem finding.
Structuring a problem is using a barrier or leverage point to construct a course of action, not organizing a problem into a space that can be searched efficiently.
Standard advice on problem solving is aimed at well-defined goals and can interfere with solving ill-defined problems.
Problem solving is a constructive process. Computational approaches to problem solving rely on procedures, such as searching through problem spaces, that have little psychological reality.