An agent-based model of species interaction on fragmented landscape is developed to address the question, how do population levels of predators and prey react with respect to changes in the patch connectivity as well as changes in the sharpness of threshold dispersal?

The core algorithm is an agent-based model, which simulates travel patterns on a network based on microscopic decision-making by each traveler.

We developed an agent-based model to explore underlying mechanisms of behavioral clustering that we observed in human online shopping experiments.

The model aims to mimic the observed behavior of participants in spatially explicit dynamic commons experiments.

This model is a market game for evaluating the effectiveness of the UK government’s 2008-2010 policy on promoting smart metering in the UK retail electricity market. We break down the policy into four

An agent-based model which explores Creativity and Urban Development

Ants in the genus Temnothorax use tandem runs (rather than pheromone trails) to recruit to food sources. This model explores the collective consequences of this linear recruitment (as opposed to highly nonlinear pheromone trails).

Irrigation game calibrated on experimental data

This model simulates a foraging system based on Middle Stone Age plant and shellfish foraging in South Africa.

This is a simulation model of an intelligent agent that has the objective to learn sustainable management of a renewable resource, such as a fish stock.