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CIIT Sahiwal
Artificial Intelligence
By
Mr. Ejaz
http:-owaiscomsian.wordpress.com/
CIIT Sahiwal
Artificial IntelligenceCourse outline
• Introduction• Problem solving• Generic algorithms• Knowledge Representation and Reasoning• Expert Systems• Uncertainty• Learning• Planning• Advanced topics in AI
CIIT Sahiwal
Artificial IntelligenceProblem Solving and Search
Muhammad Ejaz
CIIT Sahiwal
Problem Solving
• The mechanism to find the goal performing some actions to transit from one state to another is known as problem solving.
• Initial state• Operator: description of an action • State space: all states reachable from the initial state by any
sequence action• Path: sequence of actions leading from one state to another• Goal test: which the agent can apply to a single state
description to determine if it is a goal state• Path cost function: assign a cost to a path which the sum of
the costs of the individual actions along the path.
CIIT Sahiwal
Different types of problem
• Well structured problemsWhen problem description and its rules are
described clearly and unambiguously.• Ill structured problemNo extra information about the problem other
than the definition• No extra information• No heuristics (rules)
CIIT Sahiwal
Well Defined Problems
• Finding the maximum from a sequence of integers.
• Eight puzzle• 1,2 or 2,1 puzzle• Farmer and goose problem• Water pouring problem
CIIT Sahiwal
Eight puzzle
CIIT Sahiwal
Water Pouring Problem
(0,0)
(4,0) (0,3)
(4,3) (3,0)(1,3)
(3,3)(1,0) (0,1)
(4,1)
(2,3)
(2,0) (0,2)
(4,2)
CIIT Sahiwal
Farmer and goose problem
W F ~ W F GF W F G ~ G F ~W C W C C ~ G FG ~ C F ~ WC F ~ C F W W G~ G G ~ G C C C F C W ~ G W
CIIT Sahiwal
Think Point
• What will be tree representation of Farmer and goose problem?
CIIT Sahiwal
Searching For Solutions
• Having formulated some problems…how do we solve them?
• Search through a state space
• Use a search tree that is generated with an initial state and successor functions that define the state space
CIIT Sahiwal
Different search techniques
• Uninformed SearchOnly the information available in the problem definition
– Also known as blind searching
-Breadth-first search-Depth-first search-Depth-limited search-Iterative deepening search
• Informed Search When sufficient information is provided to reach the
goal.
CIIT Sahiwal
Breadth-First Search
• Recall from Data Structures the basic algorithm for a breadth-first search on a graph or tree
• Expand the shallowest unexpanded node
• Place all new successors at the end of a FIFO queue
CIIT Sahiwal
Breadth-First Search
CIIT Sahiwal
Breadth-First Search
CIIT Sahiwal
Breadth-First Search
CIIT Sahiwal
Breadth-First Search
CIIT Sahiwal
Depth-First Search
• Recall from Data Structures the basic algorithm for a depth-first search on a graph or tree
• Expand the deepest unexpanded node
• Unexplored successors are placed on a stack until fully explored
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search
CIIT Sahiwal
Depth-First Search