Authors: Rahul Joseph Fernandez
There exists contemporarily over 70 million people forced into displacement, which is historically the highest the world has seen, making aid for humanitarian crises more necessary than ever. This paper aims at a formulation for a basic theoretical model, within the Agent-Based Modelling (ABM) framework, that can be used in to make predictions about refugee migration-decision making processes. Some of the models existing are reviewed, serving as a reference for assumptions and choices made in the model presented here. Following which the model is described in the form of a cost-benefit evaluation problem along with the assumptions it makes. The model has no explicit analytic solution but can be employed by way of computerized simulations. Owing to a dearth of the requisite data to run simulations, the model was not simulated within this paper. Extensions to the model are discussed, as well as the challenges associated with modelling phenomena using ABMs.
Comments: 12 Pages.
[v1] 2019-11-04 04:43:39
Unique-IP document downloads: 26 times
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