Aims and Scope

Multi-Agent Based Simulation (MABS) is an inter-disciplinary area which brings together researchers active within the multi-agent systems (MAS) community and the agent-based social simulation (ABSS) community. The focus of MAS is on the solution of complex engineering problems related to the construction, deployment and efficient operation of agent-based systems, while the focus of ABSS is on simulating and synthesizing social behaviors in order to understand real social systems (human, animal and even electronic) via the development and testing of new theories.

As evidenced at previous MABS workshops, the MAS and ABSS communities have much to learn from each other. For example, the MAS community has developed agent-based systems that employ sophisticated and elaborated mechanisms (i.e., rich internal models) to solve complex problems, but these techniques are also useful for addressing sociological issues of cooperation, trust and power hierarchies from the social science viewpoint. In contrast, the ABSS community has studied and developed techniques and models for real world societies such as companies or economy and they are tested and validated using experimental data, but these models are also useful for real world applications from the engineering viewpoint. This suggests that the communication between MAS and ABSS communities has a potential of deriving methods that overcome each other's weak points.

The MABS workshop series continues to pursue its goal to bring together researchers interested in MAS engineering, with researchers focused on finding efficient solutions to modelling complex social systems, in such areas as economics, management, and organizational and social sciences in general. In all of these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, all converge into simulation as a way of achieving explanations and predictions, exploring and testing of hypotheses, better designs and systems.