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General Problem Solver

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Creates rules to solve problems. Applied to several logic problems ... Participants in studies spoke out loud when solving logic problems ... – PowerPoint PPT presentation

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Title: General Problem Solver


1
General Problem Solver
  • Leslie Price
  • February 26, 2008

2
What is it?
  • Developed by Alan Newell and Herb Simon
  • Problem solving research
  • Computer simulation of human problem solving
  • Called General Problem Solver because could
    solve a wide range of problems

3
How does it solve problems?
  • Applies means-end analysis
  • Useful analogy for how humans may solve problems
  • Represents the problem and the goal
  • Identifies subgoals and operators that will
    produce the goal
  • Plans within plans
  • Creates rules to solve problems
  • Applied to several logic problems
  • Tower of Hanoi, Missionary-Cannibal problem,
    three coins puzzle, water jug task, etc.

4
Tower of Hanoi
  • Three pegs, disks of different sizes
  • Disks stacked in order of size
  • Move stack to another peg
  • Only move one at a time
  • Cannot place larger disk on top of smaller disk

5
Rules Created for the Tower of Hanoi Problem
  • IF the destination peg is clear and the largest
    disk is free, THEN move the largest disk to the
    destination peg
  • IF the largest disk is not free, THEN set up a
    subgoal that will free it
  • IF the subgoal of freeing the largest disk has
    been set up and a smaller disk is on that disk,
    THEN move the smaller disk to the stack peg.

6
Testing the GPS
  • Newell, Simon, and other researchers have
    compared the GPS to humans abilities
  • Participants in studies spoke out loud when
    solving logic problems
  • Significant relationship between participants
    steps and steps the GPS uses

7
Limitations of GPS
  • Sometimes it deviates from strategies people use
    to solve problems
  • Humans use the hill-climbing strategy
  • GPS does not use this strategy
  • GPS may fail to solve the problem because it
    applies the means-end heuristic too strictly
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