Organizations are complex systems comprised of many dynamic and evolving interaction patterns among individuals and groups. Understanding these interactions and how patterns, such as informal structures and knowledge sharing behavior, emerge are crucial to creating effective and efficient organizations. To explore such organizational dynamics, the agent-based model integrates a cognitive model, dynamic social networks, and a physical environment.

Netlogo model that shows how the cooling process determines the quality of a solution in simulated annealing using Metropolis algorithm.

WWHW is an agent-based model designed to allow the exploration of the emergence, resilience and evolution of cooperative behaviours in hunter-fisher-gatherer societies.

Quality uncertainty and market failure: an interactive model to conduct classroom experiments

This is an agent-based model designed to explore the evolution of cooperation under changes in resources availability for a given population

A thermostat is a device that allows to have the temperature in a room near a desire value.

This model describes and analyses the outcomes of the confrontation of interests, some conflicting, some common, about the management of a small river in SW France

This model simulates the dynamics of eighteenth-century infantry battle tactics. The goal is to explore the effect of different tactics and individual traits in the dynamics of the combat.