What is heuristic function in Artificial Intelligence?
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Answer:
A Heuristic (or a heuristic function) takes a look at search algorithms. At each branching step, it evaluates the available information and makes a decision on which branch to follow. It does so by ranking alternatives. The Heuristic is any device that is often effective but will not guarantee work in every case.
Heuristic Function is a function that estimates the cost of getting from one place to another (from the current state to the goal state.) Also called as simply a heuristic. Used in a decision process to try to make the best choice of a list of possibilities (to choose the move more likely to lead to the goal state.)
In their initial research, Tversky and Kahneman proposed three heuristics—availability, representativeness, and anchoring and adjustment. Subsequent work has identified many more. Heuristics that underlie judgment are called "judgment heuristics".
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Answer:
3.6 Heuristic Search. The heuristic function is a way to inform the search about the direction to a goal. It provides an informed way to guess which neighbor of a node will lead to a goal. There is nothing magical about a heuristic function. It must use only information that can be readily obtained about a node.