Showing papers by "Bernard P. Zeigler published in 2011"

Simulation and Model-Based Methodologies: An Integrative View

Abstract: Section 1: Conceptual Bases for System Modelling and Design.- 1: Model-Based Activities: A Paradigm Shift.- 2: System Paradigms as Reality Mappings.- 3: General Systems Framework for Inductive Modelling.- 4: System Theoretic Foundations of Modelling and Simulation.- 5: The Tricotyledon Theory of System Design.- 6: Concepts for Model-Based Policy Construction.- Section 2: Model-Based Simulation Architecture.- 7: Structures for Model-Based Simulation Systems.- 8: Symbolic Manipulation of System Models.- 9: Concepts for an Advanced Parallel Simulation Architecture.- Section 3: Impact of Formalisms on Model Specification.- 10: GEST-A Modelling and Simulation Language Based on System Theoretic Concepts.- 11: Continuous and Discontinuous-Change Models: Concepts for Simulation Languages.- 12: Discrete Event Formalism and Simulation Model Development.- Section 4: Model Identification, Reconstruction, and Optimization.- 13: Structure Characterization for I11-Defined Systems.- 14: Reconstructability Analysis: An Overview.- 15: SAPS-A Software System for Inductive Modelling.- 16: Optimization in Simulation Studies.- Section 5: Quality Assurance in Model-Based Activities.- 17: Quality Assurance in Modelling and Simulation: A Taxonomy.- 18: How to Enhance the Robustness of Simulation Software.- 19: Simulation Model Validation.- 20: Critical Issues in Evaluating Socio-Economic Models.- Section 6: Contributed Workshop Presentations.- Group 1: Model-Based Simulation Architecture.- Group 2: Impact of Formalisms on Model Specification.- Group 3: Model Identification, Reconstruction, and Optimization.- Group 4: Quality Assurance in Model-Based Activities.

The Activity-tracking paradigm in discrete-event modeling and simulation: The case of spatially continuous distributed systems

Abstract: From a modeling and simulation perspective, studying dynamic systems consists of focusing on changes in states. According to the precision of state changes, generic algorithms can be developed to track the activity of sub-systems. This paper aims at describing and applying this more natural and intuitive way to describe and implement dynamic systems. Activity is defined mathematically. A generic application case of diffusion is experimented with to compare the efficiency of quantized state methods using this new approach with traditional methods which do not focus computations on active areas. Our goal is to demonstrate that the concept of activity can estimate the computational effort required by a quantized state method. Specifically, when properly designed, a discrete-event simulator for such a method achieves a reduction in the number of state transitions that more than compensates for the overhead it imposes.

Towards a methodological approach to identify future M&S standard needs

Abstract: Although Modeling and Simulation is successfully applied for several decades, the community only established a handful of M&S specific standards. Although the standards were applied enabling worldwide distributed simulation applications, in particular in the training application domain of military simulation systems, the general success of M&S standard efforts and their potential for general applicability has been debated repeatedly during several conferences and workshop. This collection of position statements discusses related questions, such as, "What makes M&S special that we need M&S standards," "Are M&S standards truly different from Software Engineering Standards," and "What metrics can be used to measure M&S standard success," and tries to contribute to establishing a methodological approach to identify future M&S standard needs. These position statements have been contributed in preparation of a panel discussion and edited for the supporting proceedings.

Automating DEVS over data distribution service for high performance and interoperability (Work-in-Progress)

Abstract: System complexity in military applications requires interoperation between Live and Virtual models. The network middleware enables heterogeneous systems to exchange information. Data Distribution Service (DDS) is a network middleware that uses the publish/subscribe communication paradigm for distributed real-time and embedded systems.The DEVS modeling and simulation (M&S) framework separates models from simulators. This separation gives DEVS-based M&S the flexibility to interoperate heterogeneous systems and to utilize distributed network systems. A DEVS simulator is easily adapted to network middleware to implement distributed simulation and interoperable systems with the DEVS simulation protocol. This paper describes how DDS is integrated with the DEVS protocol to achieve distributed simulation of DEVS models. The new DEVS/DDS environment provides a specification to standardize a data-centric publish/subscribe programming model for distributed systems, as well as common protocols between Live, Virtual and Constructive models for high performance simulation.