This is an informal, intuitive and usually empirical speculative strategy. It may solve a problem, but it is not guaranteed to be done well. Heuristic method improves efficiency, but you may not find the correct solution, that is, if you are misled by the existing experience and take the wrong path, it will often lead to failure in solving the problem.

The commonly used heuristic strategies are as follows.

(1) means-objective analysis. This method is the core strategy to solve the problems of certainty and finiteness. It requires the problem solver to analyze the problem by observing the target, find the difference between the current state and the target state of problem solving, and then try to narrow the distance between the current state and the target state.

(2) Forward push method. This method is similar to the "inverted tree" search strategy and the "climbing mountain" strategy. The problem solver starts with the analysis of the current state and tries to solve the problem from beginning to end. In this process, there will be many decision-making points. Only by making correct decisions and taking the right path can we succeed.

(3) Backward extrapolation. The problem solver starts from the end of the problem, or from the purpose, trying to push it back from there. This method is suitable for those problems, such as geometry problems, where there are many ways from the initial state, but only one way can reach the target state.

(4) Generation and detection methods. This method is also called trial and error. Problem solvers simply generate action selection routes, without using a systematic way, and then think about whether each action route is effective. Although this heuristic method is usually considered to be inefficient, it is sometimes good to use it to collect information in a brand-new environment.

Rubik's cube restoration is to solve the problem with the current state as the initial state. There are many decision-making points in the process, and we must make correct decisions constantly and take the right path to succeed. At one time, Rubik's Cube restoration belonged to heuristic problem solving.