Graphical game theory explained

In game theory, the common ways to describe a game are the normal form and the extensive form. The graphical form is an alternate compact representation of a game using the interaction among participants.

Consider a game with

n

players with

m

strategies each. We will represent the players as nodes in a graph in which each player has a utility function that depends only on him and his neighbors. As the utility function depends on fewer other players, the graphical representation would be smaller.

Formal definition

A graphical game is represented by a graph

G

, in which each player is represented by a node, and there is an edge between two nodes

i

and

j

iff their utility functions are dependent on the strategy which the other player will choose. Each node

i

in

G

has a function

ui:\{1\ldots

di+1
m\}

R

, where

di

is the degree of vertex

i

.

ui

specifies the utility of player

i

as a function of his strategy as well as those of his neighbors.

The size of the game's representation

For a general

n

players game, in which each player has

m

possible strategies, the size of a normal form representation would be

O(mn)

. The size of the graphical representation for this game is

O(md)

where

d

is the maximal node degree in the graph. If

d\lln

, then the graphical game representation is much smaller.

An example

In case where each player's utility function depends only on one other player:

The maximal degree of the graph is 1, and the game can be described as

n

functions (tables) of size

m2

. So, the total size of the input will be

nm2

.

Nash equilibrium

Finding Nash equilibrium in a game takes exponential time in the size of the representation. If the graphical representation of the game is a tree, we can find the equilibrium in polynomial time. In the general case, where the maximal degree of a node is 3 or more, the problem is NP-complete.

Further reading