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Anxiety Among Migrants - Questions for Agent Simulation

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Autonomous Agents and Multiagent Systems. Best and Visionary Papers (AAMAS 2023)

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Abstract

This paper starts with hypothesis (and presents some evidence) that anxiety in migrants is sufficiently important to be modelled. It presents a small (and very incomplete) review of emotion modelling in literature. It asks the question of how to translate these into agent-based modelling, and whether this can be orthogonal to specific modelling of goals and capabilities of agents. This short paper is offered as a motivator for discussion, rather than a discussion of results.

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Notes

  1. 1.

    Supported by the Irish Research Council via Grant COALESCE/2021/4.

  2. 2.

    A PPSN is a number that is allocated to every adult individual and is used for multiple purposes, from taxation to vaccination.

  3. 3.

    https://mesa.readthedocs.io.

  4. 4.

    But only about 9,500 immigrants have information on their positions.

  5. 5.

    https://github.com/viveknallur/cothrom-mabs-2023.git.

  6. 6.

    For wealth dimension, we define as satisfied if the migrant’s cumulative wealth values are greater than his/her half of annual salary.

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Authors and Affiliations

  1. School of Computer Science, University College Dublin, Dublin-4, Ireland

    Vivek Nallur

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  1. Vivek Nallur
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Correspondence to Vivek Nallur .

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  1. Politecnico di Milano, Milan, Italy

    Francesco Amigoni

  2. Rutgers University, Piscataway, NJ, USA

    Arunesh Sinha

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Nallur, V. (2024). Anxiety Among Migrants - Questions for Agent Simulation. In: Amigoni, F., Sinha, A. (eds) Autonomous Agents and Multiagent Systems. Best and Visionary Papers. AAMAS 2023. Lecture Notes in Computer Science(), vol 14456. Springer, Cham. https://doi.org/10.1007/978-3-031-56255-6_8

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