-- 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.

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.