On repeated games with imperfect public monitoring: From discrete to continuous time
Author(s) -
Mathias Staudigl,
Jan-Henrik Steg
Publication year - 2016
Publication title -
journal of dynamics and games
Language(s) - English
Resource type - Journals
eISSN - 2164-6074
pISSN - 2164-6066
DOI - 10.3934/jdg.2017001
Subject(s) - discrete time and continuous time , limit (mathematics) , sequence (biology) , repeated game , probabilistic logic , convergence (economics) , time limit , imperfect , discrete time stochastic process , sequential game , game theory , mathematics , mathematical economics , computer science , continuous modelling , path (computing) , mathematical optimization , economics , mathematical analysis , artificial intelligence , statistics , stochastic optimization , linguistics , genetics , philosophy , management , continuous time stochastic process , biology , economic growth , programming language
Motivated by recent path-breaking contributions in the theory of repeated games in continuous time, this paper presents a family of discrete-time games which provides a consistent discrete-time approximation of the continuous-time limit game. Using probabilistic arguments, we prove that continuous-time games can be defined as the limit of a sequence of discrete-time games. Our convergence analysis reveals various intricacies of continuous-time games. First, we demonstrate the importance of correlated strategies in continuous-time. Second, we attach a precise meaning to the statement that a sequence of discrete-time games can be used to approximate a continuous-time game
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom