Do you want BuboFlash to help you learning these things? Click here to log in or create user.

Tags

#artificial-intelligence

Question

Define \(\epsilon\)-optimality of a search algorithm.

Answer

Definition 6.1. ( \(\epsilon\)-Optimality) A search algorithm is \(\epsilon\)-optimal if it terminates with a solution of maximum cost (1 + \(\epsilon\)) ·δ(s,T), with \(\epsilon\) denoting an arbitrary small positive constant (s is the starting state, T is a goal state).

status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
---|---|---|---|---|---|---|---|

repetition number in this series | 0 | memorised on | scheduled repetition | ||||

scheduled repetition interval | last repetition or drill |