We build an agent-based model to study how coordination failures, credit constraints and unequal access to investment opportunities affect inequality and aggregate income dynamics. The economy is populated by households who can invest in alternative projects associated with different...

Agent-based modeling tools commonly trade off usability against power and vice versa. On the one hand, full development environments like NetLogo feature a shallow learning curve, but have a relatively limited proprietary language. Others written in Python or Matlab, for example, have the...

The study proposes an agent-based model to investigate how adoption of climate smart agriculture (CSA) affects food security. The analysis investigates the role of social and ecological pressures (i.e. community network, climate change and environmental externalities) on the adoption of physical...

This chapter treats a variety of epistemological issues surrounding generative explanation in the social sciences, and discusses the role of agent-based computational models in generative social science.

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....

Standard neoclassical economics asks what agents' actions, strategies, or expectations are in equilibrium with (consistent with) the outcome or pattern these behaviors aggregatively create. Agent-based computational economics enables us to ask a wider question: how agents' actions, strategies,...

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...

Computer automation has the potential, just starting to be realized, of transforming the design and operation of markets, and the behaviors of agents trading in them. We discuss the possibilities for automating markets, presenting a broad conceptual framework covering resource allocation as well...

Agile software development is having a profound impact on the software industry. However, the Agent-Based Social Simulation (ABSS) community has not kept the same pace with the growing interest in agile methods. A review of the evidence available on the relation between agile and ABSS was...