SSMCS 2015 - 2nd International Workshop on Smart Simulation and Modelling for Complex Systems (SSMCS2015)

Computer based modelling and simulation has become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science. A complex system is featured with a large number of interacting components (agents, processes, etc.), whose aggregate activities are nonlinear and self-organized. Complex systems are hard to be simulated or modelled by using traditional computational approaches due to complex relationships among system components, distributed features of resources, and dynamics of environments. Meanwhile, smart systems such as multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.
The 2nd International Workshop on Smart Simulation and Modelling for Complex Systems (SSMCS2015) aims to bring together researchers in both artificial intelligence and system modelling/simulation to discuss research challenges and cutting edge techniques in smart simulation and modelling.
The topics of SSMCS include but are not limited to:
? Agent based simulation for complex systems
? Agent based modelling for complex systems
? Large-scale simulations
? Network simulation and modelling
? Environment and ecosystem simulation and modelling
? Smart Grid/Service simulation and modelling
? Simulation of social and economic organizations
? Simulation of social complexity
? Cooperation, coordination, negotiation and self-organisation in complex systems
? Market-based model and simulation
? Transportation model and simulation
? Crowd model and simulation
? Evacuation model and simulation
? Human behaviour modelling, learning and simulations
Smart simulation and modelling is an important field in AI. We believe that this special session will attract attentions from not only AI researchers, but also domain experts who are interested in the applications of AI techniques in system modelling and simulation.