Multi-Agent-Based Simulation XXV - 25th International Workshop, MABS 2024, Auckland, New Zealand, May 6, 2024, Revised Selected Papers

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.

Inhaltsverzeichnis

.- 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.

Produktdetails

• Mitarbeit: Stankov (Herausgeber), Ivana Stankov (Herausgeber), Jason Thompson (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 26.04.2025
• EAN: 9783031880162
• ISBN: 978-3-0-3188016-2
• Seiten: 99
• Abmessung: 155 mm x 6 mm x 235 mm
• Gewicht: 184 g
• Illustration: IX, 99 p. 29 illus., 24 illus. in color.
• Serien: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; Lehrmittel, Lerntechnologien, E-Learning, Artificial Intelligence, angewandte informatik, Netzwerk-Hardware, Computer and Information Systems Applications, Complex systems, Computer Communication Networks, Computers and Education, Computer Application in Social and Behavioral Sciences, Computational Social Science, systems science, modeling and simulation, social simulation, intelligent behavior, agent-based modeling, Multi Agent Systems