Solving a jigsaw puzzle is an example of a static nonroutine problem.
Given all pieces to a puzzle and a picture of the goal, learners are challenged to arrange the pieces to complete the picture.
In divergent thinking, you try to generate a diverse assortment of possible alternative solutions to a problem.
Once you have considered a variety of possibilities, however, you must engage in convergent thinking to narrow down the multiple possibilities to converge on a single best answer.
One method for studying how to solve well-defined problems is to develop computer simulations.
A problem space is the universe of all possible actions that can be applied to solving a problem, given any constraints that apply to the solution of the problem.
The heuristics used in this form of problem solving are known as strategies.
The term "adversary problem-solving" is normally used to describe situations in which two or more opponents are trying to achieve some goal.
Other problem-solving heuristics such as describing the problem situation, making the problem simpler, finding irrelevant information, working backwards, and classifying information are also emphasized.
Static nonroutine problems have a fixed known goal and fixed known elements which are used to resolve the problem.