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Lecture-4 - Artificial Intelligence CS 165A 165A Friday...

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Artificial Intelligence CS 165A Friday, Jan 14, 2011 Basic Search (Ch 3) Basic Search (Ch. 3) 1
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Notes Lecture notes Username: cs165a Password: winter2011 Homework 1 due by Thursday 2 pm. 2
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Review Problem formulation and search State-space description < {S}, S 0 , {S G }, {O}, {g} > S : Possible states S 0 : Initial state of the agent S : Goal state(s) G Or equivalently, a goal test G(S) O : Operators O: {S} => {S} Describes the possible actions of the agent g : Path cost function, assigns a cost to a path/action Uninformed (blind) search Is this a goal state or not? Know current path cost (from start to current node) 3 No information about the “goodness” of a state What are we about to do right now?
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Example: MU-Puzzle States: Strings comprising the letters M, I, and U Initial state: MI Goal state: MU Operators: (where x stands for any string, including the null string ) 1. x I x IU “Append U” 2. M x M x x Replicate x 3. x I I I y x U y “Replace III with U” M I M I I M I I I I 4. x UU y xy “Drop UU” Path cost: one per step M U I M U I U M U I U U I U Try it Can you draw the state-space diagram? M U I U U I U U I U U I U 4 Are you guaranteed a solution?
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Clarification of the MU-puzzle rules: 1. If the string ends with I you may add U; for example, MI becomes MIU 2. If the string is Mx then you may create Mxx; for example, MI becomes MII; MIU becomes MIUIU 3. If the string contains III you may replace those three characters with U 4. If the string contains UU you may eliminate both characters 5
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