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Artificial Intelligence

Artificial Intelligence. By Mr. Ejaz http:- owaiscomsian.wordpress.com /. Artificial Intelligence Course outline. Introduction Problem solving Generic algorithms Knowledge Representation and Reasoning Expert Systems Uncertainty Learning Planning Advanced topics in AI.

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Artificial Intelligence

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  1. Artificial Intelligence By Mr. Ejaz http:-owaiscomsian.wordpress.com/ CIIT Sahiwal

  2. Artificial IntelligenceCourse outline • Introduction • Problem solving • Generic algorithms • Knowledge Representation and Reasoning • Expert Systems • Uncertainty • Learning • Planning • Advanced topics in AI CIIT Sahiwal

  3. Artificial IntelligenceProblem Solving and Search Muhammad Ejaz CIIT Sahiwal

  4. 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

  5. Different types of problem • Well structured problems • When problem description and its rules are described clearly and unambiguously. • Ill structured problem No extra information about the problem other than the definition • No extra information • No heuristics (rules) CIIT Sahiwal

  6. 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

  7. Eight puzzle CIIT Sahiwal

  8. Water Pouring Problem CIIT Sahiwal

  9. Farmer and goose problem W F ~ W F G F W F G ~ G F ~ W C W C C ~ G F G ~ C F ~ W C F ~ C F W W G ~ G G ~ G C CC F C W ~ G W CIIT Sahiwal

  10. Think Point • What will be tree representation of Farmer and goose problem? CIIT Sahiwal

  11. 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

  12. Different search techniques • Uninformed Search Only 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

  13. 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

  14. Breadth-First Search CIIT Sahiwal

  15. Breadth-First Search CIIT Sahiwal

  16. Breadth-First Search CIIT Sahiwal

  17. Breadth-First Search CIIT Sahiwal

  18. 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

  19. Depth-First Search CIIT Sahiwal

  20. Depth-First Search CIIT Sahiwal

  21. Depth-First Search CIIT Sahiwal

  22. Depth-First Search CIIT Sahiwal

  23. Depth-First Search CIIT Sahiwal

  24. Depth-First Search CIIT Sahiwal

  25. Depth-First Search CIIT Sahiwal

  26. Depth-First Search CIIT Sahiwal

  27. Depth-First Search CIIT Sahiwal

  28. Depth-First Search CIIT Sahiwal

  29. Depth-First Search CIIT Sahiwal

  30. Depth-First Search CIIT Sahiwal

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