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Introduction to Evolutionary Game Theory by Marco Tomassini is a scholarly article available to read on EtoBox.

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Determine the set of possible actions Know how consequences are related to a given action Sort the consequences according to a value scale: utility or payo↵ Select the action that guarantees utility maximization Marco Tomassini (University of Lausanne) Evolutionary GT GECCO'14, 7/13/2014 4 / 55 Rational Players Players are expected utility maximizers Players have common knowledge of each other rationality. A fact is common knowledge if every player knows it, every player knows that every player knows it ... Pre-play communication between players has no e↵ect on the outcome: everything works as if players played the game simultaneously and independently (for normal form games) Marco Tomassini (University of Lausanne) Evolutionary GT GECCO'14, 7/13/2014 5 / 55 The Subject of this Tutorial here we only deal with complete information games in which each player is a selfish utility maximizer: Non-Cooperative Games Other important subjects in game theory not treated here: Cooperative games in which players may form coalitions Incomplete information games (Bayesian Games) Iterated games: games played repeatedly between the same players with memory of the past interactions

Author
Marco Tomassini
Publisher
ACM
Published
2014
Language
EN

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