In order to address the question whether Hayek might have been an Agent-based Computational Economist (ACE) avant-la-lettre, we consider an ACE model concerning the phenomenon of information contagion. Alongside increasing returns, network externalities, and information cascades, information...

In order to address the question whether Hayek might have been an Agent-based Computational Economist (ACE) avant-la-lettre, we consider an ACE model concerning the phenomenon of information contagion. Alongside increasing returns, network externalities, and information cascades, information...

This paper develops a model of pricing and advertising in a matching environment with capacity constrained sellers. Sellers' expenditure on directly informative advertising attracts consumers only probabilistically. Consumers who happen to observe advertisements randomize over the advertised...

We develop a dynamic model of discrete choice that incorporates peer effects into random consideration sets. We characterize the equilibrium behavior and study the empirical content of the model. In our setup, changes in the choices of friends affect the distribution of the consideration sets....

A group of agents with ex-ante independent and identically uncertain quality compete for a prize, awarded by a principal. Agents may possess evidence about the quality of those they share a social connection with (neighbours), and themselves. In one equilibrium, adversarial disclosure of...

This paper explores a model of bounded rationality in evolutionary game play in which agent choice is based on a social psychological process of categorization and social inference. The computer simulation of the model demonstrates that agents' increasing ability to categorize opponents in the...

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents are connected according to an undirected graph, the social network, and have the choice between two actions: either to adopt a new behavior or technology or stay with the default...

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents are connected according to an undirected graph, the social network, and have the choice between two actions: either to adopt a new behavior or technology or stay with the default...

Artificially intelligent (AI) applications make data-driven predictions that enable personalization on a large scale. As such, recent advances in AI's predictive power might have the potential to create more productive work environments. Using a principal-agent model and understanding AI as...

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents are connected according to an undirected graph, the social network, and have the choice between two actions: either to adopt a new behavior or technology or stay with the default...