Among practical applications of agents and multi-agents systems, the use of the agent paradigm in modeling and simulation of complex systems is now well established and quite successful in various research fields (such as social sciences, ecology, finance…). Agent-based simulation is a powerful tool to study the complexity of real systems in that it allows to model them at the appropriate scale, to explore them at will and thus to test theories that would not be possible to investigate in the world.
Important efforts have been made in the last 20 years to provide non-computer scientists with simple and easy-to-learn tools (NetLogo being perhaps the best example) that allow domain experts to implement and experiment their own models. They have greatly contributed to increase the popularity of agent-based models, but, at the same time, have somewhat restricted their scope to only handle simple toy models. However, more and more detailed and complex phenomena are nowadays studied using agent-based models, leading to the need to run large-scale simulations. These complex phenomena often involve and combine several processes described at a specific (spatio-temporal) scale and using its own dedicated paradigm. Large-scale models are not built from scratch anymore, but require to reuse and combine existing models.
Scientists, deciders, stakeholders rely on these models to provide insights or take decisions and thus require more advanced ways to calibrate them, explore their parameters space, build scenarios, analyse their outcomes, or extract relevant scenarios.
Agent-based models of complex systems are now becoming complex themselves, and they cannot be easily designed, managed, run and experimented using simple methods anymore.
The aim of this workshop is thus to be a place of gathering, discussion and cross-fertilization between both agent-based modeling and engineering for multi-agent system communities. It provides an opportunity to exchange ideas on current and future research advances in modeling, implementation, simulation and management and analysis of simulation results of complex systems, to present the latest applications and to generate interdisciplinary discussions.
Topics of interest
Both ongoing innovative researches and reports on practical results are welcomed. Workshop topics of interest include, but are not limited to, the following:
Simulation and model design
Agent-based paradigm for modeling and simulation
Time representation in simulation
Learning techniques for simulation model design
Participatory modeling and simulation
Collaborative modeling and simulation
Simulation platforms and languages
Domain Specific Languages
Engineering of simulation platforms
Agent-oriented engineering of agent-based simulators
Simulation and model analysis
Data analysis in the context of simulation
Simulation analysis and visualization
Optimisation techniques for parameter sensibility analysis
Verification and validation of models and simulators
Parallel and distributed simulations
Ecology and Environment
Finance and Economics
Traffic and Transportation