On dynamic games with randomly arriving players
Pierre Bernhard, Marc Deschamps
Abstract
Open-access reader
Pierre Bernhard, Marc Deschamps
Abstract
Open-access reader
We consider a dynamic game where additional players (assumed identical, even if there will be a mild departure from that hypothesis) join the gamerandomly according to a Bernoulli process. The problem solved here is that of computing their expected payoff as a function of time and the number ofplayers present when they arrive, if the strategies are given. We consider both a finite horizon game and an infinite horizon, discounted game. As illustrations, we discuss some examples relating to oligopoly theory (Cournot, Stackelberg, cartel).
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We consider a dynamic game where additional players (assumed identical, even if there will be a mild departure from that hypothesis) join the gamerandomly according to a Bernoulli process. The problem solved here is that of computing their expected payoff as a function of time and the number ofplayers present when they arrive, if the strategies are given. We consider both a finite horizon game and an infinite horizon, discounted game. As illustrations, we discuss some examples relating to oligopoly theory (Cournot, Stackelberg, cartel).
Key concepts: Mathematical economics, Cournot competition, Sequential game, Stochastic game, Stackelberg competition, Repeated game, Cartel, Oligopoly