Results 91 to 100 of about 757 (200)

Imitation Games and Computation [PDF]

open access: yes
TAn imitation game is a finite two person normal form game in which the two players have the same set of pure strategies and the goal of the second player is to choose the same pure strategy as the first player. Gale et al.
Andrew McLennan, Rabee Tourky
core  

Genetic Algorithm for Approximation of Equilibrium Strategies within Finite Space of Actions in Bimatrix Games for Improving Telecommunication Interactions

open access: yesApplied Computer Systems
To improve the network interaction step-wise process, a genetic algorithm is suggested for finding more stable solutions in bimatrix games. The algorithm is based on using an approach of successive approximation to an equilibrium situation within a ...
Romanuke Vadim
doaj   +1 more source

On the generic finiteness of outcome distributions for bimatrix game forms [PDF]

open access: yes
We provide an example of an outcome game form with two players for which there is in an open set of utilities for both players such that, in each of the associated games, the set of Nash equilibria induce a continuum of outcome distributions.
Nicolai S. Kukushkin   +2 more
core  

Informationally Robust Equlibria

open access: yes
Informationally Robust Equilibria (IRE) are introduced in Robson (1994) as a refinement of Nash equilibria for e.g. bimatrix games, i.e. mixed extensions of two person finite games.Similar to the concept of perfect equilibria, basically the idea is that ...
Borm, P.E.M.   +2 more
core  

Fall Back Equilibrium

open access: yes
Fall back equilibrium is a refinement of the Nash equilibrium concept. In the underly- ing thought experiment each player faces the possibility that, after all players decided on their action, his chosen action turns out to be blocked.
Borm, P.E.M.   +2 more
core  

On symmetric bimatrix games [PDF]

open access: yes, 2018
Computation of Nash equilibria of bimatrix games is studied from the viewpoint of identifying polynomially solvable cases with special attention paid to symmetric random games.
Forgó, Ferenc
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Cold play: Learning across bimatrix games [PDF]

open access: yes, 2020
We study one-shot play in the set of all bimatrix games by a large population of agents. The agents never see the same game twice, but they can learn ‘across games’ by developing solution concepts that tell them how to play new games.
Schenk-Hoppé, Klaus R., Lensberg, Terje
core  

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