In classic AI planning, what is the main reason that Backward State-Space Search (regression planning) is often preferred over Forward State-Space Search (progression planning)?

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Computer Science · Artificial Intelligence

Verified Solution4 OptionsUpdated: October 2026👁️1 View

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Regression planning always has a smaller branching factor because it only considers actions that can achieve the goal.

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Answer 1

Regression planning works directly with ground states, whereas progression uses abstract states.

Answer 2

Progression planning is incapable of handling conjunctive goals.

Answer 3

Regression planning does not require checking preconditions of actions.

Answer 4

Regression planning always has a smaller branching factor because it only considers actions that can achieve the goal.

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