As an illustration of the utility of agent-based models (ABMs) for poaching mitigation, we developed an exploratory ABM that predicts how interactions between elephants, poachers, and law enforcement affect poaching levels within a virtual protected area. The model is theoretical at this stage but is parameterized with realistic ecological and behavioral data on African elephants, as well as representative information on poaching and ranger strategies. The aim of this model is not to provide a realistic depiction of poaching, but instead to demonstrate how ABMs can bridge the gaps present in the other two main modelling techniques applied to this topic to-date (equation-based and game theoretical models) and to provide a framework for future research. The model provides a starting point for further development and application to real-world situations, perhaps incorporating real GPS data of elephant movements and poaching incidents, and GIS satellite imagery. The aim is for this model to be further developed into a useful management support tool, one that can be used as a virtual laboratory to experiment with different scenarios without putting time, funds, resources, personnel, or elephants at risk.
This paper builds on a basic ABM for a revolution and adds a combination of behaviors to its agents such as military benefits, citizen’s grievances, geographic vision, empathy, personality type and media impact.
This model is designed for the paper of “Bustle Changes the City - Facility for Stopping off and Modeling Urban Dynamics -“. And all experimental results in the paper were implemented in this model.
The modeling includes citizens, bounded into families; firms and governments; all of them interacting in markets for goods, labor and real estate. The model is spatial and dynamic.
A proof-of-concept agent-based model ‘SimDrink’, which simulates a population of 18-25 year old heavy alcohol drinkers on a night out in Melbourne to provide a means for conducting policy experiments to inform policy decisions.
Three policy scenarios for urban expansion under the influences of the behaviours and decision modes of four agents and their interactions have been applied to predict the future development patterns of the Guangzhou metropolitan region.
We seek to improve understanding of roles enzyme play in soil food webs. We created an agent-based simulation of a simple food web that includes enzymatic activity. The model was used in a publication, Moore et al. (in press; Biochemistry).
LUXE is a land-use change model featuring different levels of land market implementation. It integrates utility measures, budget constraints, competitive bidding, and market interactions to model land-use change in exurban environment.
This is an empirically calibrated agent-based model that replicates spruce-budworm outbreaks, one of the most cited adaptive cycles reported. The adaptive-cycle metaphor by L. H. Gunderson and C. S. Holling posits the cross-case existence of repeating cycles of growth, conservation, collapse, and renewal in many complex systems, triggered by loss of resilience. This model is one of the first agent-based models of such cycles, with the novelty that adaptive cycles are not defined by system- […]