Multi-Agent-Based Simulation XXV
Description
This book constitutes the refereed proceedings of the 25th International Workshop on Multi-Agent-Based Simulation XXV, MABS 2024, held in Auckland, New Zealand, on May 6, 2024.
The 7 full papers included in this book were carefully reviewed and selected from 11 submissions. They are organized in topical sections as follows: MABS methodology and tools; MABS education; and MABS applications.
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Content
.- MABS Methodology and Tools.
.- Creating a Serious Game on top of an Agent-Based Simulation, an applied case to crisis management and population evacuation.
.- GENSIMO - A Generic Framework for Modelling Social Insurance Systems.
.- Are Low Emission Zones Effective in Reducing Emissions and Ambient Air Pollution?.
.- MABS Education.
.- Teaching Agent-based Modeling for Simulating Social Systems - A Research-based Learning Approach.
.- MABS Applications.
.- KEMASS: Knowledge-Enhanced Multi-Agent simulation for energy Scheduling Support.
.- Inverse Generative Approach for Identifying Agent-Based Models from Stochastic Primitives.
.- Inferring pedestrian decision-making through inverse reinforcement learning.
