State space search is a process used in the field of computer science, including artificial intelligence (AI), in which successive configurations or states of an instance are considered, with the goal of finding a goal state with a desired property.
Problems are often modelled as a state space, a set of states that a problem can be in. The set of states forms a graph where two states are connected if there is an operation that can be performed to transform the first state into the second.
State space search often differs from traditional computer science search methods because the state space is implicit: the typical state space graph is much too large to generate and store in memory. Instead, nodes are generated as they are explored, and typically discarded thereafter. A solution to a combinatorial search instance may consist of the goal state itself, or of a path from some initial state to the goal state.
Famous quotes containing the words state, space and/or search:
““He swore that day till the leaves shook on the trees. Charming! Delightful! Never have I enjoyed such swearing before or since. Sir, on that memorable day he swore like an angel from Heaven!””
—For the State of New Jersey, U.S. public relief program (1935-1943)
“There is commonly sufficient space about us. Our horizon is never quite at our elbows.”
—Henry David Thoreau (1817–1862)
“At any age we must cherish illusions, consolatory or merely pleasant; in youth, they are omnipresent; in old age we must search for them, or even invent them. But with all that, boredom is their natural and inevitable accompaniment.”
—Philip Dormer Stanhope, 4th Earl Chesterfield (1694–1773)