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Multi-agent-based simulation XXV : 25th international workshop, MABS 2024, Auckland, New Zealand, May 6, 2024 : revised selected papers / Jason Thompson, Ivana Stankov, editors

Von: Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture notes in computer science ; Lecture notes in artificial intelligence ; 15583Verlag: Cham : Springer, [2025]Copyright-Datum: © 2025Beschreibung: 1 Online-Ressource (viii, 99 Seiten)ISBN:
  • 9783031880179
Schlagwörter: Genre/Form: Andere physische Formen: 9783031880162 | 9783031880186 DDC-Klassifikation:
  • 006.3 23
DOI: DOI: 10.1007/978-3-031-88017-9Online-Ressourcen: Zusammenfassung: -- 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.Zusammenfassung: 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.PPN: PPN: 1922929166Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC
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