We consider bargaining in a bipartite network of buyers and sellers, who can only trade with the limited number of people with whom they are connected. Such networks could arise due to proximity issues or restricted communication flows, as with information transmission of job openings, business...

The strategic commitment moves that game theory predicts players make may sometimes seem counter-intuitive. We therefore conducted an experiment to see if people make the predicted strategic move. The experiment uses a simple bargaining situation. A player can make a strategic move of committing...

The purpose of this paper is to identify learning in games in experimental economic settings, and apply their results to real multilateral trade negotiations, such as the Doha Development Agenda (DDA) in the World Trade Organizations (WTO). This paper argues that the structure of games including...

The purpose of this paper is to identify learning in games in experimental economic settings, and apply their results to real multilateral trade negotiations, such as the Doha Development Agenda (DDA) in the World Trade Organizations (WTO). This paper argues that the structure of games including...

In this paper we introduce four new learning models: impulse balance learning, impulse matching learning, action-sampling learning, and payof-sampling learning. With this models and together with the models of self-tuning EWA learning and reinforcement learning, we conduct simulations over 12...

We use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial...

We report experimental and theoretical results on the minority of three-game where three players have to choose one of two alternatives independently and the most rewarding alternative is the one chosen by a single player. This coordination game has many asymmetric equilibria in pure strategies...

In this paper, we introduce two new learning models: impulse-matching learning and action-sampling learning. These two models together with the models of self-tuning EWA and reinforcement learning are applied to 12 different 2 x 2 games and their results are compared with the results from...

We use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious play, imitation, reinforcement learning, and a trial...

This paper analyzes the effect of the availability of information about the payoff structure on the behavior of players in a Common-Pool Resource game. Six groups of six individuals played a complete information game, while other six groups played the same game but with no information about the...