We introduce a procedure to infer the repeated-game strategies that generate actions in experimental choice data. We apply the technique to set of experiments where human subjects play a repeated Prisoner's Dilemma. The technique suggests that two types of strategies underly the data
We propose a new approach for running lab experiments on indefinitely repeated games with high conti...
We introduce a Bayesian method to infer repeated-game strategies in the form of if- then statements ...
This paper compares the behavior of individuals playing a classic two-person deterministic prisoner’...
We introduce a procedure to infer the repeated-game strategies that generate actions in experimental...
We experimentally test the ability of subjects to identify repeated-game strategies from prisoner's ...
We use the self-tuning Experience Weighted Attraction model with repeated-game strategies as a compu...
We apply a sequential Bayesian sampling procedure to study two models of learning in repeated games....
We report experiments in which humans repeatedly play one of two games against a computer program th...
We address whether cooperative behavior in a repeated Prisoner’s Dilemma (PD) is more easily achieve...
This paper is concerned with the modeling of strategic change in humans’ behavior when facing differe...
The aim of my Ph.D. thesis is to advance understanding of human choice behavior in repeated strategi...
Economists and psychologists have recently been developing new theories of decision making under unc...
This paper illustrates the use of a full Bayesian procedure to update an experimenter's belief over ...
The purpose of this paper is to reexamine the seminal belief elicitation experiment by Nyarko and Sc...
Iterated games are an important framework of economic theory and application, at least since the ori...
We propose a new approach for running lab experiments on indefinitely repeated games with high conti...
We introduce a Bayesian method to infer repeated-game strategies in the form of if- then statements ...
This paper compares the behavior of individuals playing a classic two-person deterministic prisoner’...
We introduce a procedure to infer the repeated-game strategies that generate actions in experimental...
We experimentally test the ability of subjects to identify repeated-game strategies from prisoner's ...
We use the self-tuning Experience Weighted Attraction model with repeated-game strategies as a compu...
We apply a sequential Bayesian sampling procedure to study two models of learning in repeated games....
We report experiments in which humans repeatedly play one of two games against a computer program th...
We address whether cooperative behavior in a repeated Prisoner’s Dilemma (PD) is more easily achieve...
This paper is concerned with the modeling of strategic change in humans’ behavior when facing differe...
The aim of my Ph.D. thesis is to advance understanding of human choice behavior in repeated strategi...
Economists and psychologists have recently been developing new theories of decision making under unc...
This paper illustrates the use of a full Bayesian procedure to update an experimenter's belief over ...
The purpose of this paper is to reexamine the seminal belief elicitation experiment by Nyarko and Sc...
Iterated games are an important framework of economic theory and application, at least since the ori...
We propose a new approach for running lab experiments on indefinitely repeated games with high conti...
We introduce a Bayesian method to infer repeated-game strategies in the form of if- then statements ...
This paper compares the behavior of individuals playing a classic two-person deterministic prisoner’...