This volume presents revised versions of the papers presented at the 4th International Workshop on Multi-agent Based Simulation (MABS 2003), a workshop federated with the2ndInternationalJointConferenceonAutonomousAgentsandMulti-agentSystems (AAMAS 2003), which was held in Melbourne, Australia, in July 2003. In addition to the papers presented at the workshop, three additional papers have been included in this volume (Robertson, Noto et al., and Marietto et al.). Multiagent Based Simulation (MABS) is a vibrant interdisciplinary area which brings together researchers active within the agent-based social simulation community (ABSS) and the multiagent systems community (MAS). These two communities have different, indeed somewhat divergent, goals. The focus of ABSS is on simulating and synthesizing social behaviors in order to understand observed social systems (human, animal and even electronic) via the development and testing of new models and c- cepts. MAS focuses instead on the solution of hard engineering problems related to the construction, deployment and ef?cient operation of multiagent-based systems.

This book constitutes the thoroughly refereed and revised selected papers from the 22nd International Workshop on Multi-Agent-Based Simulation, MABS 2022, which took place virtually during May 8-9, 2022. The conference was originally planned to take place in Auckland, New Zealand, but had to change to an online format due to the COVID-19 pandemic. The 11 papers included in these proceedings were carefully reviewed and selected from 17 submissions. They focus on finding efficient solutions to model complex social systems, in areas such as economics, management, organisational and social sciences in general.

This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Workshop on Multi-Agent-Based Simulation, MABS 2014, held in Paris, France, in May 2014. The workshop was held in conjunction with the 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. The 17 revised full papers included in this volume were carefully selected from numerous submissions. The papers are organized in topical sections on simulation methodologies, simulation of social behaviour, data and multi-agent-based simulation and applications.

This volume contains selected papers that were presented at the eighth int- national workshop on Multi-Agent-Based Simulation (MABS 2007), a workshop co-located with the 6th International Joint Conference on Autonomous Agents andMulti-Agent Systems (AAMAS 2007), held inHonolulu, Hawaii, onMay15, 2007. These papers have been revised and extended, based on discussions at the workshop, and reviewed once more. Agenttechnology is now a mature paradigm of software engineering. C- plex systems, which are irreducible to their components in isolation, are instead heavily characterizedby the interaction between their components. Agent-based simulation is the natural way to model systems with a focus on interaction, and the circle closes by considering how the social sciences show this kind of c- plexity. The focus of this workshopseries lies in this con?uence of socialsciences and multi-agent systems. 1 Simulation has been proposed by Axelrod as athirdwayofdoingscience, in contrast with deduction and induction: generating data that can be analyzed inductively, but coming from a rigourously speci?ed set of rules rather than - rect measurement of the real world. In this sense, to simulate a phenomenon is to generate it - constructing arti?cial (agent) societies. This in turn leads to questions that have already been asked for human societies. Computer sci- tists have adopted general terms like emerging behavior, self-organization, and evolutionary theory; even speci?c social terms such as norms, reputation, trust, tags, institutions; but all of them in an intuitive manne