NSfaces | R Documentation |
NSfaces
determines the airport problems defining the two components of the decomposition
of one specific face game.
NSfaces(c, R)
c |
A numeric cost vector. |
R |
A numeric vector representing the agents forming the coalition |
Let c\in C^N
be an airport problem and v\in G^N
its associated cost game, for each non-empty proper coalition R\in 2^N\backslash\{\emptyset, N\}
define the N\backslash R
-face of Core(v)
as the set
F_{N\backslash R}(c)=\text{Core}(v)\cap\{x\in \mathbb{R}^N:x(R)=v(R)\}.
Also, the N\backslash R
-face game v_{F_{N\backslash R}}\in G^N
is given by v_{F_{N\backslash R}}(S)=v(S\cup R)-v(R)+v(S\cap R),\ S\in 2^N
.
It turns out that F_{N\backslash R}(c)=\text{Core}(v_{F_{N\backslash R}})
, the N\backslash R
-face of the core of the associated cost game is the
core of the N\backslash R
-face game. Let r\in N
such that c_r=v(R)=\text{max}\{c_i:i\in R\}
and denote R_+=\{k\in N:k>r\}
.
Consider the airport problems
c_{|R}=(0_{N\backslash R}, c_R)\in C^N \text{ and } c_{|R_+}=(0_{N\backslash R_+},c_{r+1}-c_r,\dots,c_n-c_r)\in C^N
with associated games v^{|R}\in G^N
and v^{|R_+}\in G^N
, respectively. It is easy to see that the N\backslash R
-face game
v_{F_{N\backslash R}}\in G^N
is decomposable with respect to the partition R,N\backslash R
and its components are
v^{|R}
and v^{|R_+}
. Moreover,
F_{N\backslash R}(c)=NS(c_R)\times NS(c_{r+1}-c_r,\dots,c_n-c_r)\times 0_{N\backslash(R\cup R_+)}.
Therefore, the components of the face games of the associated cost game are associated cost games themselves.
In the N\backslash R
-face game, the players of R
play the game associated with the problem where
the agents of R
keep their cost parameters while the cost parameter of the agents in N\backslash R
is null.
On the other hand, since the players of R
already share c_r=v(R)
among themselves, the players of
N\backslash R
with an initial cost lower than c_r
now have their cost parameter equal to zero while the others
see their cost reduced by c_r
.
A numeric matrix with two rows representing the decomposition of the R
-face game:
[1,] |
The first row is obtained by setting the cost of a specific coalition to zero while retaining the cost parameters of the complementary coalition. |
[2,] |
The second row is derived by subtracting the highest cost in the complementary coalition from each agent's cost, or setting it to zero if the result is negative. |
Bernárdez Ferradás, A., Mirás Calvo, M. Á., Quinteiro Sandomingo, C., and Sánchez-Rodríguez, E. (2025). Airport problems with cloned agents. [Preprint manuscript].
González-Díaz, J. and Sánchez-Rodríguez, E. (2008). Cores of convex and strictly convex games. Games and Economic Behavior, 62, 100-105.
Mirás Calvo, M. Á., Quinteiro Sandomingo, C., and Sánchez-Rodríguez, E. (2020). The boundary of the core of a balanced game: faces games. International Journal of Game Theory, 49(2), 579-599.
NScheck
, NSstructure
, NSset
, hierarchicalrule
c <- c(1, 3, 7, 10) # Cost vector
R <- c(3, 4) # Coalition of agents
NSfaces(c, R) # Components of the face game
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