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  2. Game theory - Wikipedia

    en.wikipedia.org/wiki/Game_theory

    Game theory has come to play an increasingly important role in logic and in computer science. Several logical theories have a basis in game semantics. In addition, computer scientists have used games to model interactive computations. Also, game theory provides a theoretical basis to the field of multi-agent systems. [124]

  3. List of games in game theory - Wikipedia

    en.wikipedia.org/wiki/List_of_games_in_game_theory

    Constant sum: A game is a constant sum game if the sum of the payoffs to every player are the same for every single set of strategies. In these games, one player gains if and only if another player loses. A constant sum game can be converted into a zero sum game by subtracting a fixed value from all payoffs, leaving their relative order unchanged.

  4. Game complexity - Wikipedia

    en.wikipedia.org/wiki/Game_complexity

    The game tree size is the total number of possible games that can be played. This is the number of leaf nodes in the game tree rooted at the game's initial position.. The game tree is typically vastly larger than the state-space because the same positions can occur in many games by making moves in a different order (for example, in a tic-tac-toe game with two X and one O on the board, this ...

  5. Solution concept - Wikipedia

    en.wikipedia.org/wiki/Solution_concept

    In game theory, a solution concept is a formal rule for predicting how a game will be played. These predictions are called "solutions", and describe which strategies will be adopted by players and, therefore, the result of the game. The most commonly used solution concepts are equilibrium concepts, most famously Nash equilibrium.

  6. Stochastic game - Wikipedia

    en.wikipedia.org/wiki/Stochastic_game

    The ingredients of a stochastic game are: a finite set of players ; a state space (either a finite set or a measurable space (,)); for each player , an action set (either a finite set or a measurable space (,)); a transition probability from , where = is the action profiles, to , where (,) is the probability that the next state is in given the current state and the current action profile ; and ...

  7. Focal point (game theory) - Wikipedia

    en.wikipedia.org/wiki/Focal_point_(game_theory)

    For the two players, A and B, in head-tail game. 16 out of 22 A and 15 out of 22 B chose "heads". For the three players, A, B, and C, in letter order game. 9 out of 12 A, 10 out of 12 B, and 14 out of 16 C wrote "ABC". For the players to claim part of the $100. 36 out of 40 chose $50. 2 of the remainder chose $49 and $49.99.

  8. Information set (game theory) - Wikipedia

    en.wikipedia.org/wiki/Information_set_(game_theory)

    In game theory, an information set represents all possible points (or decision nodes) in a game that a given player might be at during their turn, based on their current knowledge and observations. These nodes are indistinguishable to the player due to incomplete information about previous actions or the state of the game .

  9. List of game theorists - Wikipedia

    en.wikipedia.org/wiki/List_of_game_theorists

    John Harsanyi – equilibrium theory (Nobel Memorial Prize in Economic Sciences in 1994) Monika Henzinger – algorithmic game theory and information retrieval; John Hicks – general equilibrium theory (including Kaldor–Hicks efficiency) Naira Hovakimyan – differential games and adaptive control; Peter L. Hurd – evolution of aggressive ...