We use minority game model to investigate evolutionary dynamics in complex networks of adaptive agents competing for limited resources. We show that the dynamics and the associated phase structures critically depend on the underlying network organizations, and evolution is a key mechanism for...

We are interested in how the relationship between the fee in a constant product market (CPM) and the volatility of the swapped pair on other liquid exchanges influences the losses / gains of the liquidity providers. We review three classical market making models: Glosten and Milgrom, Kyle and...

We develop a financial market model focused on fund managers who continuously adjust their exposure to risk in response to the payoff gradient. The base model has a stable equilibrium with classic properties. However, bubbles and crashes occur in extended models incorporating an endogenous...

Fund managers respond to the payoff gradient by continuously adjusting leverage in our analytic and simulation models. The base model has a stable equilibrium with classic properties. However, bubbles and crashes occur in extended models incorporating an endogenous market risk premium based on...

Stochastic games offer a rich mathematical structure that makes it possible to analyze situations with heterogeneous and interacting economic agents. Depending on the actions of the economic agents, the economic environment changes from one period to another. We focus on stationary equilibrium,...

A model is described in which large numbers of simple agents organize into groups that empirically resemble U.S. firms. The agents work in team production environments, regularly adjust their work effort, and periodically seek better jobs or start new teams when it is in their self-interest....

Using the author's own experiences, this chapter shows how agent-based modeling (ABM) can address research questions common to many disciplines, facilitate interdisciplinary collaboration, provide a useful multidisciplinary tool when the math is intractable, and reveal unity across disciplines....

An agent-based model is a virtual world comprising distributed heterogeneous agents who interact over time. In a spatial agent-based model the agents are situated in a spatial environment and are typically assumed to be able to move in various ways across this environment. Some kinds of social...

We study optimal pricing strategies and consequent market shares' dynamics in a transition from an old and established technology to a new one. We simulate an agent based model, in which a large population of possible buyers decide whether to adopt or not depending on prices, private signals and...

Using virtual stock markets with artificial interacting software investors, aka agent-based models (ABMs), we present a method to reverse engineer real-world financial time series. We model financial markets as made of a large number of interacting boundedly rational agents. By optimizing the...