To investigate the potential of using Social Psychology Theory in ABMs of natural resource use and show proof of concept, we present an exemplary agent-based modelling framework that explicitly represents multiple and hierarchical agent self-concepts

Irrigation game calibrated on experimental data

An ABM, derived from a case study and a series of surveys with greenhouse growers in the Westland, Netherlands. Experiments using this model showshow that the greenhouse horticulture industry displays diversity, adaptive complexity and an uneven distribution, which all suggest that the industry is an evolving system.

A model for simulating farmers and foresters response on changing climate and changing socio-economic parameters. Modeled are changes in land-use as well as in ecosystem services provision.

We present an agent-based model that maps out and simulates the processes by which individuals within ecological restoration organizations communicate and collectively make restoration decisions.

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.

This model studies the effect of the agents’ adaptive expectation on cooperation frequency in the prisoner’s dilemma game in complex networks from an agent based approach. The model is implemented in Repast simphony 1.2.

This model simulates diffusion curves and it allows to test how social influence, network structure and consumer heterogeneity affect their spreads and their speeds.

SONG is a simulator designed for simulating the process of transportation network growth.

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