Conference Themes
Methodology and Tools
Modelling Methodology
Continuous, discrete and hybrid simulation methodology, Simulation environments, Multi-paradigm simulation, Simulation uncertainty, Simulation visualisation, Integration of simulation and geographical information systems, Object-oriented programming and Languages, Multi-paradigm Languages, Software comparisons. Numerical Methods for Simulation, Mathematical Analysis in Simulation, Parallel Simulation Methodology, Discrete Event Simulation, Simulation Fidelity and Performance Evaluation, Advanced Training and Simulation Concepts for Education, Multiparameter Sequential Optimization Methods in Simulation, Verification, Validation, and Control in Complex Systems Simulation, Distributed and Parallel Systems Simulation, Combined Continuous and Discrete Event Models, Symbol Analysis and Manipulation of Equation-Based Models, Simultaneous vs Modular Simulation Methods, Standardization Issues
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Object Orientation and Re-Use
Object-Oriented Modelling Languages, Modularity, Model Structuring, Inheritance, Model Re-use, Organization of Model Libraries
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Tools
Simulation Tools, Statistical Output Evaluation Tools, Optimization Tools, Special Purpose Simulation Languages and Tools, Simulator Development Environments, Interfaces for Coupling with External Tools
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Simulation and AI
Simulation and AI
AI Based Simulation Languages, Special Architectures, Graphical Simulation Environments and Simulation Software Tools, Intelligent Simulation Environments, Parallel Processing Environments for Simulation, User Friendly Software Tools, Advanced Man-Machine Interfaces, Graphical Model Editors, Browsing Facilities, Database Management of Models and Results, Architecture of Modelling and Simulation Environments
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AI and Expert Systems
Expert Controllers and Genetic Algorithms in Simulation, Knowledge Based Simulation Tools, AI and Expert Systems in Simulation.
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AI and Neural Networks
Classification, Data analysis, Fault tolerance, Forecasting, Knowledge acquisition, Economics and Finance, Planning, Pre-treatment of data, Process control, Robotics, Speech and image recognition, Web intelligence, involving methodologies such as: Hybrid systems (GA, fuzzy, symbolic representation), Methods or tools for evaluating ANN performance, Reinforcement Learning, Simulation tools (research, education, development), Neural nets for simulation: modelling of parts (components) of the system simulated by neural networks, evaluation of simulation models using neural nets, decision support in simulation models by neural nets; Simulation of neural nets: systems of pre-designed neural networks, techniques and tools for simulation and programming of neural networks.
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AI and fuzzy Systems
Fuzzy Qualitative simulation, fuzzy rules and fault models. Classification, Data analysis, Fault tolerance, Forecasting, Knowledge acquisition, Economics and Finance, Planning, Pre-treatment of data, Process control, Robotics, Speech and image recognition, Web intelligence, involving methodologies such as: Hybrid systems (GA, fuzzy, symbolic representation), Methods or tools for evaluating ANN performance, Reinforcement Learning, Simulation tools (research, education, development).
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High Performance and Large Scale Computing
This track invites contributions on efficient Modelling and Simulation Algorithms and Computer-intensive Simulation Projects on High-performance Large Scale Computers and Distributed Platforms. Methods and techniques for parallel simulation (scheduling, synchronisation, load balancing), Performance of parallel and distributed simulation (experimental and comparative studies, performance models, benchmarks), High Level Architecture (HLA) and related standards (time management, model semantics, implementation issues), High Performance and Large Scale Systems for Computational Science (biological, chemical, physical, etc.) Application of parallel and distributed simulation (computer systems, manufacturing systems, etc.), Parallelisation of simulations (numerical methods, (Quasi-Monte-Carlo simulation), Simulation in Cluster, Multicluster, and Grid Computing, Simulation in Pervasive and Ubiquitous Computing (wireless, mobile, wearable, invisible)
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Simulation in Education and Graphics Visualization Simulation
This track covers; Simulation and e-learning, - Role Strategies) Management Games, Simulation with "man in the loop", Virtual Reality Systems, Realistic Presentation of Simulation, Results, Simulation for Training and Education, Web-based Simulation, Multi-site Group Simulation, Special Purpose Simulation Languages and Tools, Simulation Environments, Simulator Development Environments, Visual Modelling Tools, Multimedia, Visualisation and Animation Tools, Interfaces for Coupling with External Tools.
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Simulation in Environment, Ecology, Biology and Medicine
The main goal is to enhance the trans-disciplinarity and to facilitate contacts and dialogs between computer scientists and specialists of Environmental Sciences. Since 10 years the modelling process took benefits from recent (and less recent) techniques of computer science : Object-Oriented Languages, Discrete Event Simulation, Concepts of Agent and Actor, Fuzzy Logic, UML, model - GIS interface, Web-based simulation, environment management, predictive models of forest growth, fishing, climate and other biological processes. Papers dealing with ecological modelling (in a wider sense) are welcome in the areas of: Applications: Environment managing, Waste managing, Ecosystem dynamics (terrestrial and oceanographic ecology) Population dynamics (diseases & epidemics, changes in biodiversity, genome, predator-prey relationships, fishing...), Population behaviour, Individual behaviour, involving methodologies such as: Artificial Intelligence, Distributed Interactive Simulation, High-Performance Computing, Languages, Modelling Techniques, Simulation Methodologies & Tools, Synthetic Environment, Virtual Reality, Petri nets, DEVS and Bond Graphs. Modelling and simulation have an important role in structuring biological, medical and ecological systems. The intrinsic complexity and non-linearity of these types of systems need continuous and discrete simulation methodology, soft computing methodology in order to handle the different degrees of uncertainty, as well as virtual reality methodology describing the time and space dependent complexity.
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Simulation in Biological Systems
Topics are biological systems, medical systems and ecosystems with the domain specific topics such as molecular modelling, genetic algorithms in biosystems, fuzzy sets and neural nets in biosystems, physiology, cardiology, anesthesia, cancer, circulatory system, respiratory system, renal system, biomechanics, agricultural production, simulation of global change, ecotechnology and eco-engineering, GIS, population dynamics, etc Simulation of Patient Care,Quality of Service, Hospital Logistics, Simulation of Disease Proliferation, Virtual Reality in Surgical Procedures, Simulating Biological Phenomena and Organs, Simulation as a Tool for Diagnosis, Simulation of Emergency Procedures (Disaster Gaming), General Medical Simulations, Pharmacometric Modelling, Physiological Simulations
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Analytical and Numerical Modelling Techniques
Contributions based on exact and approximate methods as well as applications are encouraged but not restricted to the following topics: Techniques and Algorithms, Stochastic Petri Net Models, Queuing Systems and Network Models, Markov Models, Performance Optimization, Stochastic Process Algebras, Stochastic Precedence Graphs, Bounds and Theoretical Properties, Interconnection Networks, Evaluation Studies of Analytical and Numerical Modelling, Computer Systems, Manufacturing Systems, Workflow Management Systems, Communication Systems (LANs and Distributed Systems, ATM Switches, Mobile Radio,...), Workload modelling and Characterisation, Operating Systems, Client-Server Systems, Multimedia Systems, Measurements and Hybrid Techniques, Software Performance and Software Tools for Analytical and Numerical Modelling.
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Web Based Simulation
Web-based Simulation Environments (WSE), Web-based Distributed Interactive Simulation (WDIS) Sharing and reuse of simulation models and tools in WSE , Techniques and Standards for model integration, Communication interoperability in WSE and WDIS, WSE and WDIS applications to education, training and learning. , Simulation visualization/animation in WSE and WDIS, Web-based Distributed Simulation (distributed modelling via the Web, Java based, Federated, and so on).
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Agent-Based Simulation
Agent Based Simulation covers, Basic Methodologies, Agent Architectures, Model Specification and Languages, Mobile Agents, Multi Agent System Communication and Cooperation, Multi-Level Simulation and Emergence, decision making and Strategies, plus applications in Ecology and Environment (environment management, resource management, social and political impact on the environment, computer aided decision making, socio-eco systems modelling), psychology, Cognitive Science and AI, Economics and Market Systems, Business Process Management, Industry, Manufacturing and Logistics and Transport (control of Industrial Systems, scheduling, Planning, Supply Chain) and Health Care with the emphasis on simulation and modelling.
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Cosmological Simulation
Detailed computer simulations are a powerful tool to study one of the biggest challenges for theoretical cosmology: How did the galaxies we see in the universe today form out of the small fluctuations in matter density that were present in the primordial universe? Having carried out the largest cosmological simulations ever, scientists in astrophysics are able to follow the hierarchical galaxy formation process with unprecedented accuracy and detail, allowing new theoretical insights into dark matter dynamics, and novel tests of the cold dark matter theory for galaxy formation. Simulations in this area, at present can be categorized under: The Millenium Simulation, Galaxy Formations Simulation, First Objects, Mock Catalogues, Dark Matter Halos, Intergalactic Medium, Semi-Analytical Modelling and Hubble Volume Simulation, Star Formation
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