Trial and Error is a general problem solving method in contrast of an approach using insight and theory. In science, formulation and testing of hypotheses is based on trial and error, in computer science also called generate and test, and in elementary algebra, when solving certain equations, called guess and check. Learning and optimization methods such as genetic algorithms, simulated annealing and reinforcement learning also apply trial and error methods. In general, trial and error makes no attempt to discover why a solution works, but that it is a solution. A further application related to computer chess is to find factors for the application of Magic Bitboards with spare populated, but otherwise randomly chosen numbers.

Home * Programming * Algorithms * Trial and ErrorTrial and Erroris a general problem solving method in contrast of an approach using insight and theory. In science, formulation and testing of hypotheses is based on trial and error, in computer science also calledgenerate and test, and in elementary algebra, when solving certain equations, calledguess and check. Learning and optimization methods such as genetic algorithms, simulated annealing and reinforcement learning also apply trial and error methods. In general, trial and error makes no attempt to discover why a solution works, but that it is a solution. A further application related to computer chess is to find factors for the application of Magic Bitboards with spare populated, but otherwise randomly chosen numbers.^{[1]}## Table of Contents

## See also

## Selected Publications

1961).Trial and Error. Penguin Science Survey, pdf1962).Trial and Error Search in Solving Difficult Problems: Evidence from the Game of Chess. Behavioral Science, Vol. 7, No. 4, pp. 425-429## External Links

Randy Brecker, Michael Brecker, Barry Rogers, Billy Cobham, John Abercrombie, Edward Vernon, Jeff Kent, Doug Lubahn

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