A dynmaic microsimulation model to project the UK population over time

A very simple model elaborated to explore what may happens when buyers (travelers) have more information than sellers (tourist destinations)

In this model agents meet, evaluate one another, decide whether or not to date, if and when to become sexual partners, and when to break up.

An agent-based framework that aggregates social network-level individual interactions to run targeting and rewarding programs for a freemium social app. Git source code in https://bitbucket.org/mchserrano/socialdynamicsfreemiumapps

This simulation model is to simulate the emergence of technological innovation processes from the hypercycles perspective.

Several taxonomies for empirical validation have been published. Our model integrates different methods to calibrate an innovation diffusion model, ranging from simple randomized input validation to complex calibration with the use of microdata.

We built a model using R,polr package, to assess 55 published case studies from developing countries to determine what factors influence the level of compliance of local communities with protected area regulations.

This model represents the flight paths of a flock of homing pigeons according to their flocking-, orientation- and leadership behaviour.

Biobehavioral interactions between two populations under different movement strategies.

How do households alter their spending patterns when they experience changes in income? This model answers this question using a random assignment scheme where spending patterns are copied from a household in the new income bracket.