Multi-Agent-Based Simulation XXIV
Description
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.
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Content
.- 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.