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Adversarial Search

Posted on December 6, 2021December 6, 2021 By christo No Comments on Adversarial Search

Adversarial Search in which we examine the problems that arise when we try to plan ahead in a world where other agents are planning against us

Problems of Adversarial Search

  • Multi-agent environment:
    • any given agent needs to consider the actions of other agents and how they affect its own welfare
    • introduce possible contingencies into the agent’s problem-solving process
    • cooperative vs. competitive
  • Adversarial search problems: agents have conflicting goals — games

Games vs. Search Problems

  • “Unpredictable” opponent
    • specifying a move for every possible opponent reply
  • Time limits
    • unlikely to find goal, must approximate

Game Problem Formulation

  • A game with 2 players (MAX and MIN, MAX moves first, turn-taking) can be defined as a search problem with:
    • initial state: board position
    • player: player to move
    • successor function: a list of legal (move, state) pairs
    • goal test: whether the game is over – terminal states
    • utility function: gives a numeric value for the terminal states (win, loss, draw)
  • Game tree = initial state + legal moves

Game Tree (2-player, deterministic)

Game Tree (2-player, deterministic)
Game Tree (2-player, deterministic)

Artificial intelligence Tags:Adversarial Search

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