What is he best known for?
The fields of study he is best known for:
- Statistics
- Microeconomics
- Law
His main research concerns Mathematical economics, Microeconomics, Repeated game, Nash equilibrium and Stochastic game. His studies in Mathematical economics integrate themes in fields like Evolutionary dynamics and Moran process. His study in the fields of Duopoly under the domain of Microeconomics overlaps with other disciplines such as Preemption.
In his research on the topic of Repeated game, Evolutionary game theory, Stochastic process and Social relation is strongly related with Dilemma. His research investigates the connection between Nash equilibrium and topics such as Equilibrium selection that intersect with issues in Self-confirming equilibrium. His work deals with themes such as Word of mouth, Outcome, Folk theorem and Punishment, which intersect with Stochastic game.
His most cited work include:
- The Theory of Learning in Games (2564 citations)
- The Folk theorem in repeated games with discounting or with incomplete information (1801 citations)
- Emergence of cooperation and evolutionary stability in finite populations (960 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical economics, Repeated game, Stochastic game, Microeconomics and Nash equilibrium. His work in the fields of Folk theorem, Equilibrium selection, Sequential equilibrium and Game theory overlaps with other areas such as Imperfect. His Sequential equilibrium research includes themes of Subgame perfect equilibrium and Extensive-form game.
His biological study spans a wide range of topics, including Discounting, Social psychology, Limit and Complete information. Much of his study explores Stochastic game relationship to Outcome. As part of his studies on Microeconomics, Drew Fudenberg often connects relevant areas like Set.
He most often published in these fields:
- Mathematical economics (44.70%)
- Repeated game (19.12%)
- Stochastic game (16.80%)
What were the highlights of his more recent work (between 2012-2021)?
- Mathematical economics (44.70%)
- Stochastic game (16.80%)
- Action (5.94%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mathematical economics, Stochastic game, Action, Econometrics and Social psychology. When carried out as part of a general Mathematical economics research project, his work on Nash equilibrium, Equilibrium selection and Proper equilibrium is frequently linked to work in Compatibility, therefore connecting diverse disciplines of study. His Stochastic game study combines topics in areas such as Honesty, Set, Incentive, Signalling and Internet privacy.
The various areas that he examines in his Action study include Constant, Sequential sampling, Mathematical optimization and Joint probability distribution. His Social psychology study integrates concerns from other disciplines, such as Punitive damages and Repeated game. His study in Repeated game is interdisciplinary in nature, drawing from both Maximization, Private information retrieval and Prisoner's dilemma.
Between 2012 and 2021, his most popular works were:
- Understanding Rent Dissipation: On the Use of Game Theory in Industrial Organization (101 citations)
- Stochastic Choice and Revealed Perturbed Utility (69 citations)
- Who cooperates in repeated games: The role of altruism, inequity aversion, and demographics (58 citations)
In his most recent research, the most cited papers focused on:
Drew Fudenberg spends much of his time researching Mathematical economics, Social psychology, Mathematical optimization, Action and Repeated game. His Mathematical economics research includes themes of Decision problem and Rationality. His work on Bellman equation as part of general Mathematical optimization research is often related to Binary number, thus linking different fields of science.
His biological study spans a wide range of topics, including Bayesian probability, Active learning, State space and Function. His work on Folk theorem as part of general Repeated game study is frequently connected to Imperfect, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Nash equilibrium study which covers Universal consistency that intersects with Game theory.
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