Multi-Agent-Based Simulation XXIV
Springer International Publishing (Verlag)
978-3-031-61033-2 (ISBN)
This book constitutes the refereed Proceedings of the 24th International Workshop on Multi-Agent-Based Simulation XXIV, MABS 2023, held in London, UK, during May 29-June 2, 2023.
The 11 regular papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in subject areas as follows: MABS methodology and tools; MABS and social behavior; and MABS applications.
.- MABS Methodology and Tools.
.- Can (and should) Automated Surrogate Modelling be Used for Simulation Assistance?.
.- Towards a Better Understanding of Agent-Based Airport Terminal Operations using Surrogate Modeling.
.- Active Sensing for Epidemic State Estimation using ABM-guided Machine Learning.
.- Combining Constraint-Based and Imperative Programming in MABS for More Reliable Modelling.
.- Multi-Agent Financial Systems with RL: A Pension Ecosystem Case (WIP).
.- MABS and Social Behavior.
.- Aspects of Modeling Human Behavior in Agent-Based Social Simulation - What can We Learn from the COVID-19 Pandemic?.
.- Learning Agent Goal Structures by Evolution.
.- Dynamic Context-Sensitive Deliberation.
.- MABS Applications.
.- A Multi-Agent Simulation Model considering the Bounded Rationality of Market Participants: An Example of GENCOs Participation in the Electricity Spot Market.
.- Modeling Cognitive Workload in Open-Source Communities via Simulation.
.- Multi-Agent Simulation of Intelligent Resource Regulation in Integrated Energy and Mobility.
| Erscheinungsdatum | 14.05.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | X, 173 p. 61 illus., 44 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | agent based simulation • agent-discrete models • Artificial Intelligence • Autonomous Agents • Computing Methodologies • machine learning • model development and analysis • Modeling and Simulation • simulation support systems • Simulation Theory • simulation types and techniques |
| ISBN-10 | 3-031-61033-4 / 3031610334 |
| ISBN-13 | 978-3-031-61033-2 / 9783031610332 |
| Zustand | Neuware |
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