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stem/AI/Problem Solving.md
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STEM/AI/Problem Solving.md
STEM/CS/Regex.md
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Problem Types

  • Toy/game problems
    • Illustrative
  • Real world problems
    • Exact solutions

Intelligent Agents

Any thing which can be viewed as perceiving its environment through sensors and acting upon that environment through its affectors

Reflex

Goal Based

Utility-based

Environments

  • (in)accessible
  • (non)-deterministic
  • (non)-episodic
  • Static/dynamic
  • Discrete/continuous

Solving

  1. Precise problem definition
    • Start conditions and goal state
  2. Problem analysis
    • Appropriate representation
    • Problem characteristics
      • Knowledge intensive
      • Decomposability
  3. Choice of best technique

Moves

  • Ignorable
    • Simple control structure
  • Recoverable
    • Backtrack using control stack
  • Irrecoverable
    • Much effort needed for each decision/move

  • Control
    • Cause movement
    • Be systematic
    • Be guided by heuristics

Predictability

8 Puzzle

  • Can plan ahead with certainty — only need a
    control structure with backtracking
    • recoverable, certain outcome

Chess

  • Future moves are not predictable with certainty.
  • May need to consider several possibilities, and decide best option based on Incomplete information
  • irrecoverable — once a piece is taken cannot in general recover from this state.
  • deciding on an optimal move can be difficult
  • try to predict opponent's move