Game theory

From Simulace.info
Revision as of 16:51, 22 January 2015 by Xgubk00 (talk | contribs) (→‎Basic concepts)
Jump to: navigation, search


The beginning of the mathematical game theory was originated in 1944, when the book called The Game Theory and Economic Behavior [2] by mathematician John von Neumann and economist Oskar Morgenstern was written and published by Princeton University Press. Game theory is a discipline of the applied mathematics, that analyzes the spectrum of conflict decision situations, that may occur, wherever there is a conflict of interests. Game theory models try to analyze these conflict situations and by building a mathematical model of the conflict and computing are trying to find the best strategies for specific parties of the conflict

Game theory is a branch of, originally, applied mathematics, used mostly in economics and political science, a little bit in biology, that gives us a mathematical taxonomy of social life and it predicts what people are likely to do and believe others will do in cases where everyone's actions affect everyone else. That's a lot of things: competition, cooperation, bargaining, games like hide-and-seek, and poker.[3]

Basic concepts

The basis of most mathematical models of the game theory is the assumption of rationality. Every each player acts such that he maximizes its profit (its win).

  • The player based on stable preferences sets objectives and strategies to elect the most efficient possible to achieve these objectives.
  • The player is confronted by a number of situations and he is able to sort them according to their preferences from the most advantageous to the least advantageous.

The assumption of rationality (of each player) is the factor which distinguishes the game theory from the theory of decision.

This alignment must be complete, ie. must cover all situations and transitive, ie. if a player prefer the situation A before the situation B and situation C, and must prefer the situation A before the situation C. Based on the preferences of the situation is derived utility function of player. The sole objective of the player is then maximize the value of the utility function.

Games in Extensive Form

Types of games

All the games that we are considering in this chapter have certain things in common and these are:

  • There is a finite set of players assumed (who may be people, groups of people holding the same opinion, or more abstract entities like computer programs or “nature” or “the house”). The least possible number of players is 2.
  • Number of applied strategies may be finite and infinite. For endless strategy plays a role timing of moves. (for game theory consider games with a finite number of strategies)
  • Winning types are divided into games with constant sum and games with non-constant sum.
  • Each player has complete knowledge of the rules of the game.
  • At different points in the game, each player has a range of choices or moves. This set of choices is finite.
  • The game ends after a finite number of moves.
  • After the game ends, each player receives a numerical payoff. This number may be negative, in which case it is interpreted as a loss of the absolute value of the number. For example, in a game like chess the payoff for winning might be +1, for losing -1, and for a draw 0.

In addition, the following are properties which a game may or may not have:

  • There may be chance moves. In a card game, the dealing of the hands is such a chance move. In chess there are no chance moves.
  • In some games, each player knows, at every point in the game the entire previous history of the game. This is true of tic-tac-toe and backgammon but not of bridge (because the cards dealt to the other players are hidden). A game with this property is said to be of perfect information. Note that a game of perfect information may have chance moves. Backgammon is an example of this because a die is rolled at points in the game.

It has been just said that the players receive a numerical payoff at the end of the game. In real conflict situations, the payoff is often something nonquantitative like "happiness", "satisfaction", "prestige", or their opposites. In order to study games with such psychological payoffs, it is first necessary to replace these payoffs with numerical ones.

  • A week in Paris.
  • A week in Hawaii.
  • Eight hours in a dentist‘s chair.

Different people would assign different “happiness ratings” to these prizes. For a person with an interest in French culture, rating them as 100, 25, -100, respectively, might be reasonable. To a surfer, the ratings might be 10, 100, -100. The point is that we are assuming that this conversion of nonquantitative payoffs to numerical ones can always be done in a sensible manner.[4] [5]

Normal form game

Game in the normal form is defined by set Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle \{ Q, X_1, ..., X_n, u_1 (x_1,...X_n),..., u_n (x_1,..., x_n) \}}


where Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle Q = \{1,..., n\}} are involved players, sets Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle X_1,...,X_n} are sest of strategies and Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle u_i(x_1,..., x_n)} are winnings of the player Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle i} for individual strategies. The normal form game is usually represented as a matrix.

The game for 2 players is shown below.

Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle \begin{pmatrix}u_1_1 & u_1_t \\u_2_1 & u_k_t \end{pmatrix} }


Here the player number 1 chose from strategies Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle s_1,..., s_k} and the player number 2 chose from strategies Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle t_1,..., t_t} . There is an assumption that this is a zero-sum game, and in this game apllies:

Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://en.wikipedia.org/api/rest_v1/":): {\displaystyle u_1(s_i,t_j) = -u_2(s_i,t_j)}

and therefore there is need to write only the value of the prize (utility function) for one player.

References

  1. ↑ ŠALAMON, Tomáš. Design of agent-based models: developing computer simulations for a better understanding of social processes. Řepín-Živonín: Tomáš Bruckner, 2011. ISBN 978-809-0466-111.
  2. ↑ COPELAND, A. H. (1945). "Review: Theory of Games and Economic Behavior by John von Neumann and Oskar Morgenstern". Bull. Amer. Math. Soc. 51 (07): 498–504. doi:10.1090/s0002-9904-1945-08391-8.
  3. ↑ CAMERER, C. (January 2013). TEDX. Acquired in January 2014, z <http://www.ted.com/talks/colin_camerer_neuroscience_game_theory_monkeys?language=en/>
  4. ↑ MORRIS, Peter. Introduction to game theory. New York: Springer-Verlag, c1994, xvi, 230 p. ISBN 03-879-4284-X.
  5. ↑ Peliš, Michal: Teorie her jako formální teorie racionálního rozhodování (Game theory as a formal theory of rational decision-making); In: Soudobá sociologie II (Teorie sociálního jednání a sociální struktury). 1 vyd. 2008, Praha: Karolinum; s. 255-276. ISBN 978-80-246-1413-7.
Retrieved from "http://www.simulace.info/index.php?title=Game_theory&oldid=8417"