This paper analyses a simultaneous game of network formation and information acquisition where the benefit structure is such that the benefit that an agent derives from the network she is located in depends on the maximum information that someone in her neighbourhood, including herself,...

This paper presents a non-Bayesian model of social learning in networks in an environment with a finite set of actions. We conduct a laboratory experiment in which participants play an urn-guessing game over several decision rounds while observing the previous choices of the network members to...

The paper analyzes a dynamic model of rational strategic learning in a network. It complements existing literature by providing a detailed picture of short-run dynamics in a game of strategic experimentation where agents are located in a social network. We show that the delay in information...

We introduce a model of strategic experimentation on social networks where forwardlooking agents learn from their own and neighbors’ successes. In equilibrium, private discovery is followed by social diffusion. Social learning crowds out own experimentation, so total information decreases with...

Our study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 games used by Selten and Chmura (2008). Every participant played against four neighbors and could choose a different strategy against each of them. The games were played in two...