The creative destruction wrought by high-frequency algorithmic tradinghas raised increasing concerns about the eect of machine learning behaviorsand ultra high-frequency trading in finnancial markets. By employing a geneticalgorithm with a classifer system as an adaptive learning tool, we...

We develop a framework for studying the introduction of a new payment method in a controlled laboratory environment, where consumers (buyers) and merchants (sellers) can learn to coordinate their adoption decisions over time. The underlying game exhibits network adoption effects as emphasized by...

Our study demonstrates how agents' expectations can interact dynamically with monetary and fiscal policy at the zero lower bound. We study expectation formation near the zero lower bound using a learning-to-forecast laboratory experiment under alternative policy regimes. In our experimental...

In this paper we explore the role of social influence for the coordination of effort choice in a game with strategic complementarities. Players are repeatedly randomly partitioned in groups to play a minimum effort game and choose their effort based on their beliefs about the minimal effort...

This paper provides experimental evidence on coordination within genuinely large groups that could proxy the atomistic nature of real-world markets and organizations. We use a bank-run game where the two pure-strategy equilibria "run" and "wait" can be ranked by payoff and risk-dominance and a...

This book analyses decision-making in dynamic economic environments. By applying a wide range of methodological approaches, combining both analytical and computational methods, the contributors examine various aspects of optimal firm behaviour and relevant policy areas. Topics covered include...