ABSEA 2015 - 2015 : Agent-based modeling and simulation of complex systems: engineering and applications

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 in various research fields (such as social sciences, ecology, finance...) and very successful. Agent-based simulation is a powerful tool to study complex systems and more particularly their dynamic. It allows to model systems at the appropriate scale, to explore these models at will and thus test theories that would not be possible to investigate in actual world. Huge efforts have been done to provide to non-computer scientists simple and easy-to-learn tools (Netlogo is perhaps the best example) that allow domain experts to implement their own simple models and test them.
However simulation is now used to study phenomena with more and more details and thus higher and higher complexity. Simple tools, simple ways to develop simulation and to explore them are no more adapted. Every stakeholder involved in the modeling and simulation process needs much more advanced conceptual, methodological and technical tools to face issues induced by their new goal to do large-scale simulation.
The aim of this workshop is thus to be a place of gathering, discussion and cross-fertilization between both agent-based simulation 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
Multi-scale simulation
Time representation in simulation
Multi-model simulators
Learning techniques for simulation model design
Participatory modeling and simulation
Collaborative modeling and simulation
Simulation platforms and languages
Engineering of simulation platforms
Engineering of multi-agent systems
Simulation and model analysis
Data analysis in the context of simulation
Simulation dynamic analysis and visualization
Optimisation techniques for parameter sensibility analysis
Verification and validation of models and simulators
Emergence study Applications
Finance and Economics
Ecology and Environment
Soil sciences
Epidemiology
Disaster management
Social sciences
Robotics
Applications
Disaster management
Ecology and Environment
Epidemiology
Finance and Economics
Soil sciences
Robotics
Social sciences
Traffic and Transportation