HyperAI

Trial-by-error

Trial and ErrorIt is a method of solving problems by continuously trying. It first selects a possible method to the problem. If the verification fails, another possible solution is selected to try. The whole process ends when the correct result is obtained.

Features of trial and error

  • Problem-solving orientation: Trial and error method does not require understanding why a solution is successful, but only needs to solve the problem;
  • For a specific problem: Trial and error does not need to find a method that can be widely applied to solve other problems;
  • No optimization: Trial and error will only find a solution, not try all solutions, nor find the best solution;
  • Only minimal knowledge is required: Trial and error can still be applied even with minimal knowledge of the problem domain.

References

https://zh.wikipedia.org/wiki/Trial Error