Monotonicity in Computer Science
In computer science, monotonicity (also called consistency) is a condition applied to heuristic functions. A heuristic h(n) is monotonic if, for every node n and every successor n' of n generated by any action a, the estimated cost of reaching the goal from n is no greater than the step cost of getting to n' plus the estimated cost of reaching the goal from n' ,
This is a form of triangle inequality, with n, n', and the goal Gn closest to n. Because every monotonic heuristic is also admissible, monotonicity is a stricter requirement than admissibility. In some heuristic algorithms, such as A*, the algorithm can be considered optimal if it is monotonic.
Read more about this topic: Monotonic Function
Famous quotes containing the words computer and/or science:
“The archetype of all humans, their ideal image, is the computer, once it has liberated itself from its creator, man. The computer is the essence of the human being. In the computer, man reaches his completion.”
—Friedrich Dürrenmatt (1921–1990)
“Human Nature is the only science of man; and yet has been hitherto the most neglected.”
—David Hume (1711–1776)