Artificial Intelligence, Explain the difference between a problem state and a search state.
In Artificial Intelligence , we generally model a problem as a state. From this problem state , there are various moves possible further. By applying these moves , we reach next states. Moves are continued to be applied and a collection of various states is achieved. The overall structure that we get is called search space or seach space tree.
Search space tree contains a tree kind of structure where :-
( i.) the initial problem is the root node of the tree.
( ii ). intermediate nodes are search states
( iii ). there may be one or more final states that denote the solution of the problem
Search space has algorithms that have to find a path from root node to final node states.
Example can be a water jug problem. You are given two jugs, a
4-gallon one and a 3-gallon
one, a pump which has unlimited water which you can use to ll the
jug, and the ground on which water may be poured. Neither jug has
any measuring markings on it. How can you get exactly 2 gallons of
water in the 4-gallon jug?
Now there will be various states in between from our initial state of (0,0) to reach the final state of (2,x) . All such states will be the search state.
Artificial Intelligence, Explain the difference between a problem state and a search state.
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