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25th MABS 2024: Auckland, New Zealand

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Jason Thompson, Ivana Stankov:
Multi-Agent-Based Simulation XXV - 25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024, Revised Selected Papers. Lecture Notes in Computer Science 15583, Springer 2025, ISBN 978-3-031-88016-2

MABS Methodology and Tools

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Mathieu Bourgais, Arnaud Saval, Pierrick Tranouez, Olivier Gillet, Éric Daudé:
Creating a Serious Game on Top of an Agent-Based Simulation, an Applied Case to Crisis Management and Population Evacuation. 3-14
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Fjalar J. de Haan, Jason Thompson:
GENSIMO - A Generic Framework for Modelling Social Insurance Systems. 15-27
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Hyesop Shin, Eric Silverman, Alison J. Heppenstall, Nick Malleson, Mario Ilic, Sonali Abeysinghe, Tabea S. Sonnenschein:
Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution? 28-36

MABS Education

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Fabian Lorig, Michael Belfrage, Emil Johansson:
Teaching Agent-Based Modeling for Simulating Social Systems - A Research-Based Learning Approach. 39-53

MABS Applications

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Guillaume Muller, Somsakun Maneerat, Alan Adamiak:
KEMASS: Knowledge-Enhanced Multi-agent simulation for energy Scheduling Support. 57-69
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Gayani P. D. P. Senanayake, Le Minh Kieu:
Inverse Generative Approach for Identifying Agent-Based Models from Stochastic Primitives. 70-86
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Xiangmin Yang, Liu Yang, Arnab Majumdar, Washington Ochieng:
Inferring Pedestrian Decision-Making Through Inverse Reinforcement Learning. 87-97

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