game_note

Lecture 3

Definition 2

  1. game of perfect information: 一个抉择树每个节点都有一个条件。也就是说任意玩家在任意时间都知道自己所在的位置。反之则是imperfect information。
  2. zero-sum: 每一个叶子上所有用户的总和payoff是0。也就是说用户不会从中得到什么。
  3. without chance: 节点没有被自然控制。 反之是game with chance。

ep: 棋类是 2-person zero-sum games of perfect information without chance.
ep: Poker is a zero-sum1 game of imperfect information with chance.

Definition 3

fully specified strategy : 对一个特定的玩家,有多少种战略。把所有可能性走法加起来。

Generating all strategies for

  • 如果玩家i第一步先走的话: Ni(t) = Ni(t1) + Ni(t2) + · · · + Ni(tn).

  • 如果玩家i第一步后走的话: Ni(t) = Ni(t1) × Ni(t2) × · · · × Ni(tn).

week3

Nash Equilibrium

Def

Definition: A strategy profile (s1,s2,s3…sk) for a game with k
players, is a Nash equilibrium if each strategy is a best
response to all of the others.

  • It is not a strategy; it is a choice of strategy for all players in
    the game.
  • If the players are playing the Nash, no player has any
    incentive to change its strategy unilaterally

Mini-max approach



解释上图:

  1. 寻找Amelia的min , 1,2,3,1
  2. 寻找Scott的max, 7,3,5,6
  3. 找Amelia的min中的max 和 Scott的max中的min 的那个点。

Dominance


Dominance can be used to eliminate some strategies


mixed strategies

A mixed strategy is a strategy for a player in which:

  • I plays probabilistic combination of pure strategies;
  • I receives a probabilistic combination of payoffs

Extensive form

一个路径上有权重比例的树

At each node where the player has a
decision, assign a probability function to each
of the possible choices.

con

  1. Only for a special class of games do strategies which beat
    all opponents always exist (two-player, zero-sum, perfect
    information, no chance).
  2. A Nash equilibrium is a collection of strategies for all
    players such that each player is playing best response to
    all the others.
  3. For a zero-sum, two-player game in normal form, a
    strategy pair which is maximal in its columns and minimal
    in its rows is a Nash equilibrium.
  4. Dominance can be used to reduce the number of
    strategies.
  5. Nash equilibria also exist in general-sum games.

Week4

The minmax rule

• MAX nodes are trying to maximise the payoff to player 1.
• MIN nodes are trying to minimise the payoff to player 1.

The value V(J) of a node J is

  1. If J is a terminal node, V(J) is equal its payoff U(J).
  2. If J is a MAX node, V(J) is the maximum value of its
    children.
  3. If J is a MIN node, V(J) is the minimum value of its
    children.


suppose multi players

Can not approach an equilibria :


game_note
http://example.com/2022/10/05/game-note/
Author
Chenxi Qu
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