Abstract Multi-Level Agent-Based Modeling (ML-ABM) has been receiving increasing
attention in recent years. In this paper we present LevelSpace, an extension that allows …

Advancement in computational social science requires the expertise of social,
computational, and data scientists. The field thrives due to the diversity of backgrounds and …

Epidemiology has long used human interaction patterns to understand spreading dynamics.
Recently network scientists have embraced the notion that these pattern are best described …

Agent-based modeling (ABM) plays a critical role in complex systems research by allowing
researchers to examine how individual-to-individual interactions collectively give rise to …

Any agent-based model (ABM) involving agents that think or make decisions must inevitably
have some model of agent cognition. Often, this cognitive model is incredibly simple, such …

Multi-level Mesa is an extension to support the Python based Agents Based Model (ABM)
library Mesa. Multi-level Mesa provides ABM infrastructure to allow for the inclusion of …

Fresh-cut leafy greens are potential vehicles for foodborne pathogens such as Escherichia
coli O157: H7 and are at high risk of causing foodborne illnesses. Cross-contamination …

The integration of multiple viewpoints became an increasingly popular approach to deal with
agent-based simulations. Despite their disparities, recent approaches successfully manage …

We present a method of endowing agents in an agent-based model (ABM) with
sophisticated cognitive capabilities and a naturally tunable level of intelligence. Often, ABMs …

We present an interface for programming relationships between two or more NetLogo [18]
models running concurrently. The interface is designed specifically to help high school aged …