What is agent-based modeling, otherwise known as ABM? What is distributed computing? Why do it? These are all easily answered questions, right? Surprisingly, the answer is a resounding “No!” in many ...

For AI agents to function effectively at the edge, they require structured and reliable context about the environments in ...

One of the main challenges in Agent-Based Modeling (ABM) is to model agents’ preferences and behavioral rules such that the knowledge and decision-making processes of real-life stakeholders will be ...

Maja Schlüter ¹², Claudia Pahl-Wostl ³, Mechanisms of Resilience in Common-pool Resource Management Systems, Ecology and Society, Vol. 12, No. 2 (Dec 2007) ...

When is it better to use agent-based (AB) models, and when should differential equation (DE) models be used? Whereas DE models assume homogeneity and perfect mixing within compartments, AB models can ...

In this review, we introduce the broad range of techniques available for cell-based computational modeling. The approaches can range from highly detailed models of just a few cells and their ...

Adaptive AI combines reinforcement learning with agent-based modeling to drive business growth. This unique blend enables real-time response to external changes, even in production settings.