Utility-Directed Planning

Book One

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 12

Student Abstracts

Classical AI planning has adopted a very narrow notion of plan quality, namely that a plan is good just in case it achieves a specified goal. Goals provide a valuable point of computational leverage: despite the fact that planning is intractable in the worst case, goal-satisfying planning algorithms can effectively solve classes of problems by using the goal to focus the search for a solution (using backward-chaining techniques), and by exploiting domain-specific heuristic knowledge to control search.