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picture1_Ppt Games 79223 | Lecture30 Adversarial Search


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File: Ppt Games 79223 | Lecture30 Adversarial Search
admin assignment 10 a quick review of search problem solving via search to define the state space define three things is goal next states starting state uninformed search vs informed ...

icon picture PPTX Filetype Power Point PPTX | Posted on 06 Sep 2022 | 3 years ago
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  Admin
   Assignment 10
      A quick review of search
      Problem solving via search:
      •   To define the state space, define three things:
           – is_goal
           – next_states
           – starting state 
      Uninformed search vs. informed search
           – what’s the difference?
           – what are the techniques we’ve seen?
           – pluses and minuses?
   Why should we study games?
   Clear success criteria
   Important historically for AI
   Fun 
   Good application of search
     – hard problems (chess 35100 states in search space, 1040 legal 
      states)
   Some real-world problems fit this model
     – game theory (economics)
     – multi-agent problems
  Types of games
    What are some of the games 
    you’ve played?
  Types of games: game properties
  single-player vs. 2-player vs. multiplayer
  Fully observable (perfect information) vs. partially 
  observable
  Discrete vs. continuous
  real-time vs. turn-based
  deterministic vs. non-deterministic (chance)
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...Admin assignment a quick review of search problem solving via to define the state space three things is goal next states starting uninformed vs informed what s difference are techniques we ve seen pluses and minuses why should study games clear success criteria important historically for ai fun good application hard problems chess in legal some real world fit this model game theory economics multi agent types you played properties single player multiplayer fully observable perfect information partially discrete continuous time turn based deterministic non chance...

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