02-01-Uninformed-Search.pdf

02-01-Uninformed-Search.pdf - Uninformed Search CSE 440...

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Uninformed Search CSE 440: Introduction to Artificial Intelligence
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Today I Search Problems I Uninformed Search Methods I Depth First Search I Breadth First Search I Uniform-Cost Search
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Pacman as Search
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Search Problems I A search problem consists of:
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Search Problems I A search problem consists of: I A state space:
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Search Problems I A search problem consists of: I A state space: I A successor function (actions, costs): “N”, 1.0 “E”, 1.0
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Search Problems I A search problem consists of: I A state space: I A successor function (actions, costs): “N”, 1.0 “E”, 1.0 I A start state and a goal test
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Search Problems I A search problem consists of: I A state space: I A successor function (actions, costs): “N”, 1.0 “E”, 1.0 I A start state and a goal test I A solution is a sequence of actions (a plan) which transforms the start state to a goal state
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Example: Traveling in Romania I State Space: I Successor Function: I Start Space: I Goal Test: I Solution?
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Example: Traveling in Romania I State Space: I Cities I Successor Function: I Start Space: I Goal Test: I Solution?
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Example: Traveling in Romania I State Space: I Cities I Successor Function: I Roads: travel to adjacent city with cost=distance I Start Space: I Goal Test: I Solution?
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Example: Traveling in Romania I State Space: I Cities I Successor Function: I Roads: travel to adjacent city with cost=distance I Start Space: I Arad I Goal Test: I Solution?
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Example: Traveling in Romania I State Space: I Cities I Successor Function: I Roads: travel to adjacent city with cost=distance I Start Space: I Arad I Goal Test: I Is state == Bucharest? I Solution?
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What is in a State Space? World State: Includes every last detail of the environment
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What is in a State Space? World State: Includes every last detail of the environment Search State: Keeps only details necessary for planning
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What is in a State Space? World State: Includes every last detail of the environment Search State: Keeps only details necessary for planning Problem: Pathing I States: I Actions: I Successor: I Goal Test:
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What is in a State Space? World State: Includes every last detail of the environment Search State: Keeps only details necessary for planning Problem: Pathing I States: ( x, y ) position I Actions: I Successor: I Goal Test:
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What is in a State Space? World State: Includes every last detail of the environment Search State: Keeps only details necessary for planning Problem: Pathing I States: ( x, y ) position I Actions: NEWS I Successor: I Goal Test:
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What is in a State Space? World State: Includes every last detail of the environment Search State: Keeps only details necessary for planning Problem: Pathing I States: ( x, y ) position I Actions: NEWS I Successor: update location only I Goal Test:
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What is in a State Space? World State: Includes every last detail of the environment Search State: Keeps only details necessary for planning Problem: Pathing I States: ( x, y ) position I Actions: NEWS I Successor: update location only I Goal Test: Is ( x, y ) == END?
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  • Winter '15
  • Depth-first search, search trees, Uninformed Search Methods

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