Multi-Agent-Based Simulation XXIV: 24th International Workshop, MABS 2023, London, UK, May 29 – June 2, 2023, Revised Selected Papers

Author:   Luis G. Nardin ,  Sara Mehryar
Publisher:   Springer International Publishing AG
Volume:   14558
ISBN:  

9783031610332


Pages:   173
Publication Date:   15 May 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Multi-Agent-Based Simulation XXIV: 24th International Workshop, MABS 2023, London, UK, May 29 – June 2, 2023, Revised Selected Papers


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Overview

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.

Full Product Details

Author:   Luis G. Nardin ,  Sara Mehryar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   14558
ISBN:  

9783031610332


ISBN 10:   3031610334
Pages:   173
Publication Date:   15 May 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

.- 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.

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