Engineering Principles of Combat Modeling and Distributed Simulation

Engineering Principles of Combat Modeling and Distributed Simulation

Comprised of contributions from leading international researchers and practitioners, this book provides a comprehensive overview of the engineering principles and state-of-the-art methods needed to address the many facets of combat modeling ...

Author: Andreas Tolk

Publisher: John Wiley & Sons

ISBN: 9781118180303

Category: Mathematics

Page: 768

View: 887

Explore the military and combat applications of modeling andsimulation Engineering Principles of Combat Modeling and DistributedSimulation is the first book of its kind to address the threeperspectives that simulation engineers must master forsuccessful military and defense related modeling: the operationalview (what needs to be modeled); the conceptual view (how to docombat modeling); and the technical view (how to conductdistributed simulation). Through methods from the fields ofoperations research, computer science, and engineering, readers areguided through the history, current training practices, and modernmethodology related to combat modeling and distributed simulationsystems. Comprised of contributions from leading internationalresearchers and practitioners, this book provides a comprehensiveoverview of the engineering principles and state-of-the-art methodsneeded to address the many facets of combat modeling anddistributed simulation and features the following foursections: Foundations introducesrelevant topics and recommended practices, providing the neededbasis for understanding the challenges associated with combatmodeling and distributed simulation. Combat Modeling focuses onthe challenges in human, social, cultural, and behavioral modelingsuch as the core processes of "move, shoot, look, and communicate"within a synthetic environment and also equips readers with theknowledge to fully understand the related concepts andlimitations. Distributed Simulationintroduces the main challenges of advanced distributed simulation,outlines the basics of validation and verification, and exhibitshow these systems can support the operational environment of thewarfighter. Advanced Topics highlightsnew and developing special topic areas, including mathematicalapplications fo combat modeling; combat modeling with high-levelarchitecture and base object models; and virtual and interactivedigital worlds. Featuring practical examples and applications relevant toindustrial and government audiences, Engineering Principles ofCombat Modeling and Distributed Simulation is an excellentresource for researchers and practitioners in the fields ofoperations research, military modeling, simulation, and computerscience. Extensively classroom tested, the book is also ideal forcourses on modeling and simulation; systems engineering; and combatmodeling at the graduate level.
Categories: Mathematics

Engineering Principles of Combat Modeling and Distributed Simulation

Engineering Principles of Combat Modeling and Distributed Simulation

changed the way simulations are written and used in many domains, and combat modeling and distributed simulation is no exception. This chapter introduces the foundational ideas of agent-directed simulation and gives selected examples of ...

Author: Andreas Tolk

Publisher: John Wiley & Sons

ISBN: 9780470874295

Category: Mathematics

Page: 932

View: 658

Explore the military and combat applications of modeling and simulation Engineering Principles of Combat Modeling and Distributed Simulation is the first book of its kind to address the three perspectives that simulation engineers must master for successful military and defense related modeling: the operational view (what needs to be modeled); the conceptual view (how to do combat modeling); and the technical view (how to conduct distributed simulation). Through methods from the fields of operations research, computer science, and engineering, readers are guided through the history, current training practices, and modern methodology related to combat modeling and distributed simulation systems. Comprised of contributions from leading international researchers and practitioners, this book provides a comprehensive overview of the engineering principles and state-of-the-art methods needed to address the many facets of combat modeling and distributed simulation and features the following four sections: Foundations introduces relevant topics and recommended practices, providing the needed basis for understanding the challenges associated with combat modeling and distributed simulation. Combat Modeling focuses on the challenges in human, social, cultural, and behavioral modeling such as the core processes of "move, shoot, look, and communicate" within a synthetic environment and also equips readers with the knowledge to fully understand the related concepts and limitations. Distributed Simulation introduces the main challenges of advanced distributed simulation, outlines the basics of validation and verification, and exhibits how these systems can support the operational environment of the warfighter. Advanced Topics highlights new and developing special topic areas, including mathematical applications fo combat modeling; combat modeling with high-level architecture and base object models; and virtual and interactive digital worlds. Featuring practical examples and applications relevant to industrial and government audiences, Engineering Principles of Combat Modeling and Distributed Simulation is an excellent resource for researchers and practitioners in the fields of operations research, military modeling, simulation, and computer science. Extensively classroom tested, the book is also ideal for courses on modeling and simulation; systems engineering; and combat modeling at the graduate level.
Categories: Mathematics

Simulation and Wargaming

Simulation and Wargaming

This book shows how the practice of wargaming can be augmented and provide more detail-oriented insights using computer simulation, particularly as the complexity of military operations and the need for computational decision aids increases ...

Author: Charles Turnitsa

Publisher: John Wiley & Sons

ISBN: 9781119604785

Category: Technology & Engineering

Page: 466

View: 536

Understanding the potential synergies between computer simulation and wargaming Based on the insights of experts in both domains, Simulation and Wargaming comprehensively explores the intersection between computer simulation and wargaming. This book shows how the practice of wargaming can be augmented and provide more detail-oriented insights using computer simulation, particularly as the complexity of military operations and the need for computational decision aids increases. The distinguished authors have hit upon two practical areas that have tremendous applications to share with one another but do not seem to be aware of that fact. The book includes insights into: The application of the data-driven speed inherent to computer simulation to wargames The application of the insight and analysis gained from wargames to computer simulation The areas of concern raised by the combination of these two disparate yet related fields New research and application opportunities emerging from the intersection Addressing professionals in the wargaming, modeling, and simulation industries, as well as decision makers and organizational leaders involved with wargaming and simulation, Simulation and Wargaming offers a multifaceted and insightful read and provides the foundation for future interdisciplinary progress in both domains.
Categories: Technology & Engineering

Advances in Modeling and Simulation

Advances in Modeling and Simulation

Seminal Research from 50 Years of Winter Simulation Conferences Andreas Tolk, John Fowler, Guodong Shao, Enver Yücesan ... In: Tolk A (ed) Engineering principles of combat modeling and distributed simulation.

Author: Andreas Tolk

Publisher: Springer

ISBN: 9783319641829

Category: Computers

Page: 355

View: 701

​This broad-ranging text/reference presents a fascinating review of the state of the art of modeling and simulation, highlighting both the seminal work of preeminent authorities and exciting developments from promising young researchers in the field. Celebrating the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating recent advances in the field of system simulation, the book showcases the historical importance of this influential conference while also looking forward to a bright future for the simulation community. Topics and features: examines the challenge of constructing valid and efficient models, emphasizing the benefits of the process of simulation modeling; discusses model calibration, input model risk, and approaches to validating emergent behaviors in large-scale complex systems with non-linear interactions; reviews the evolution of simulation languages, and the history of the Time Warp algorithm; offers a focus on the design and analysis of simulation experiments under various goals, and describes how data can be “farmed” to support decision making; provides a comprehensive overview of Bayesian belief models for simulation-based decision making, and introduces a model for ranking and selection in cloud computing; highlights how input model uncertainty impacts simulation optimization, and proposes an approach to quantify and control the impact of input model risk; surveys the applications of simulation in semiconductor manufacturing, in social and behavioral modeling, and in military planning and training; presents data analysis on the publications from the Winter Simulation Conference, offering a big-data perspective on the significant impact of the conference. This informative and inspiring volume will appeal to all academics and professionals interested in computational and mathematical modeling and simulation, as well as to graduate students on the path to form the next generation of WSC pioneers.
Categories: Computers

Modeling and Simulation Based Systems Engineering Handbook

Modeling and Simulation Based Systems Engineering Handbook

To date, a handbook that includes established M&S practices is not available in the systems engineering community. This multi-contributed reference book provides the M&S practices for supporting systems engineering in diverse domains.

Author: Daniele Gianni

Publisher: CRC Press

ISBN: 1138748943

Category: Engineering models

Page: 513

View: 206

The capability modeling and simulation (M&S) supplies for managing systems complexity and investigating systems behaviors has made it a central activity in the development of new and existing systems. However, a handbook that provides established M&S practices has not been available. Until now. Modeling and Simulation-Based Systems Engineering Handbookdetails the M&S practices for supporting systems engineering in diverse domains. It discusses how you can identify systems engineering needs and adapt these practices to suit specific application domains, thus avoiding redefining practices from scratch. Although M&S practices are used and embedded within individual disciplines, they are often developed in isolation. However, they address recurring problems common to all disciplines. The editors of this book tackled the challenge by recruiting key representatives from several communities, harmonizing the different perspectives derived from individual backgrounds, and lining them up with the book's vision. The result is a collection of M&S systems engineering examples that offer an initial means for cross-domain capitalization of the knowledge, methodologies, and technologies developed in several communities. These examples provide the pros and cons of the methods and techniques available, lessons learned, and pitfalls to avoid. As our society moves further in the information era, knowledge and M&S capabilities become key enablers for the engineering of complex systems and systems of systems. Therefore, knowledge and M&S methodologies and technologies become valuable output in an engineering activity, and their cross-domain capitalization is key to further advance the future practices in systems engineering. This book collates information across disciplines to provide you with the tools to more efficiently design and manage complex systems that achieve their goals. ual backgrounds, and lining them up with the book's vision. The result is a collection of M&S systems engineering examples that offer an initial means for cross-domain capitalization of the knowledge, methodologies, and technologies developed in several communities. These examples provide the pros and cons of the methods and techniques available, lessons learned, and pitfalls to avoid. As our society moves further in the information era, knowledge and M&S capabilities become key enablers for the engineering of complex systems and systems of systems. Therefore, knowledge and M&S methodologies and technologies become valuable output in an engineering activity, and their cross-domain capitalization is key to further advance the future practices in systems engineering. This book collates information across disciplines to provide you with the tools to more efficiently design and manage complex systems that achieve their goals.
Categories: Engineering models

Theory of Modeling and Simulation

Theory of Modeling and Simulation

This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation.

Author: Bernard P. Zeigler

Publisher: Academic Press

ISBN: 0127784551

Category: Computers

Page: 536

View: 492

The increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have given engineers the capability of designing highly complex systems and computer architectures that were previously unthinkable. Every complex design project, from integrated circuits, to aerospace vehicles, to industrial manufacturing processes requires these new methods. This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation. This book, written as a true text/reference has become a standard sr./graduate level course in all EE departments worldwide and all professionals in this area are required to update their skills. The book provides a rigorous mathematical foundation for modeling and computer simulation. It provides a comprehensive framework for modeling and simulation integrating the various simulation approaches. It covers model formulation, simulation model execution, and the model building process with its key activities model abstraction and model simplification, as well as the organization of model libraries. Emphasis of the book is in particular in integrating discrete event and continuous modeling approaches as well as a new approach for discrete event simulation of continuous processes. The book also discusses simulation execution on parallel and distributed machines and concepts for simulation model realization based on the High Level Architecture (HLA) standard of the Department of Defense. Presents a working foundation necessary for compliance with High Level Architecture (HLA) standards Provides a comprehensive framework for continuous and discrete event modeling and simulation Explores the mathematical foundation of simulation modeling Discusses system morphisms for model abstraction and simplification Presents a new approach to discrete event simulation of continuous processes Includes parallel and distributed simulation of discrete event models Presents a concept to achieve simulator interoperability in the form of the DEVS-Bus
Categories: Computers

Advances in Parallel and Distributed Simulation

Advances in Parallel and Distributed Simulation

IEEE Transactions on Software Engineering , 14 ( 2 ) : 141-154 , February 1988 . [ 3 ] Chandy , K.M. , and Misra , J. Distributed Simulation : A Case Study in Design and Verification of Distributed Programs .

Author: Vijay Madisetti

Publisher: Society for Computer Simulation International

ISBN: STANFORD:36105031165959

Category: Computer simulation

Page: 190

View: 525

Categories: Computer simulation

Fourteenth Workshop on Parallel and Distributed Simulation

Fourteenth Workshop on Parallel and Distributed Simulation

220 98000pm3 200 Model 180F 98000pm * Empirical 160 140 Work 120 910000 100 100H 80 60 40 20 1 2 3 4 6 7 8 S Processors Figure 15. ... Distributed Combat Simulation and Time Warp : The Model and Its Performance .

Author: IEEE Computer Society. Technical Committee on Simulation

Publisher: IEEE

ISBN: 0769506771

Category: Computers

Page: 212

View: 300

These papers are taken from the 14th Workshop on Parallel and Distributed Simulation, 2000. They cover: challenges for future research; parallel simulation for continuous and real-time applications; optimistic system performance; interoperability issues; load balancing; and scheduling.
Categories: Computers

Simulation Digest

Simulation Digest

Alex received his BS in Computer Engineering from Carnegie Mellon University in 1986 where he was a University Scholar and earned an NCAA Academic All ... Distributed combat simulation and time warp : The model and its performance .

Author:

Publisher:

ISBN: PSU:000052067518

Category: Computer simulation

Page:

View: 117

Categories: Computer simulation

Simulation Symposium SS 2001 34th Annual

Simulation Symposium  SS 2001   34th Annual

An Ant Foraging Model Implemented on the Time Warp Operating System . In Proc . of the SCS Multiconference on Distributed Simulation , pages 21-28 , March 1989 . ... Distributed Systems Engineering , 3 : 9-19 , 1996 .

Author:

Publisher: IEEE

ISBN: UVA:X004552024

Category: Computers

Page: 341

View: 808

Proceedings of an April 2001 symposium, addressing traditional discrete-event and continuous simulation topics, as well as topics in areas of distributed systems, network modeling, and advances in simulation methodology and practices. Material is in sections on simulation based performance analysis, network modeling and simulation, VLSI circuit simulators, simulation languages and environments, Web-based modeling and simulation, parallel and distributed simulation, and advances in simulation methodology and practices. Some subjects are queue structures for shared-memory multiprocessor systems, building a Web-based federated simulation system with Jini and XML, modeling and simulation of active networks, performance optimization of throttled time-warp simulation, and fault identification networks by passive testing. Lacks a subject index. c. Book News Inc.
Categories: Computers