Alethea B. T. Barbaro

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We applied an interacting particle model to the Icelandic capelin stock to reproduce the spawning migration route for three different years, successfully predicting the route for 2008. Using available temperature data and approximated currents, and without using artificial forcing terms or a homing instinct, our model was able to reproduce the observed(More)
This paper summarizes our work on a parallel algorithm for an interacting particle model, derived from the model by Czirok, Vicsek, et. al. [4, 5, 6, 15, 16]. Our model is particularly geared toward simulating the behavior of fish in large shoals. In this paper, the background and motivation for the problem are given, as well as an introduction to the(More)
We study the well-known sociological phenomenon of gang aggregation and territory formation through an interacting agent system defined on a lattice. We introduce a two-gang Hamiltonian model where agents have red or blue affiliation but are otherwise indistinguishable. In this model, all interactions are indirect and occur only via graffiti markings,(More)
We consider a collective behavior model in which individuals try to imitate each others’ velocity and have a preferred speed. We show that a phase change phenomenon takes place as diffusion decreases, bringing the system from a “disordered” to an “ordered” state. This effect is related to recently noticed phenomena for the diffusive Vicsek model. We also(More)
We model the spawning migration of the Icelandic capelin stock using an interacting particle model with added environmental fields. Without an artificial forcing terms or a homing instinct, we qualitatively reproduce several observed spawning migrations using available temperature data and approximated currents. The simulations include orders of magnitude(More)
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