Bill Horan's Military Modelling Masterclass


Book Description

Expert military modeler Bill Horan shares his knowledge of materials and techniques. Illustrated with over 260 color photographs of models by the author and other leading miniaturists. Includes easy-to-follow instructions detailing the preparation and painting of figures, converting and scratch-building figures, creating small vignettes as well as major dioramas, and the special challenge of mounted cavalry figures.




The Encyclopedia of Military Modelling


Book Description

Provides detailed instruction for making realistic models of figures, weapons, fighting vehicles, and artillery.




How to Paint Realistic Military Figures


Book Description

Learn to paint contest-quality military figures with this book! Covers military figures and horses from medieval times to Desert Storm. Includes more tips for resin models and oil paints, new techniques for painting in enamels and oils, and information on camouflage and black-and-white uniforms.




Military Applications of Modeling


Book Description

This book, first published in 1981, offers a critical review of the techniques of mathematical modelling and their appropriate application to military operations research – the analysis of data (historical data, exercise and test results, and intelligence) in preparation for war. The virtues of sophistication via simplicity, and the beauty of the artful finesse, emerge as the signature of successful modelling.




Creating a Military Modelling Diorama


Book Description

Creating a diorama offers modellers a chance to display their figures and vehicles in a realistic setting, often providing a 'snapshot' of a moment in history. This book provides step-by-step instructions on how to plan, design and build a diorama and is suitable for new and more experienced modellers. With over 270 colour photographs, it considers all scales from 1/87 (H0) to 1/32 and their implications for the diorama builder. The importance of research to ensure historical accuracy is emphasized. Advice is given on the creation of dioramas in different scales and sizes. It demonstrates the techniques required to achieve effective results for landscapes, terrain and vegetation. Finally, examples are included from the Napoleonic Wars, American Civil War, World War I and World War II.




Handbook of Dynamic System Modeling


Book Description

The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic Sy




Engineering Principles of Combat Modeling and Distributed Simulation


Book Description

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.




Modeling Human and Organizational Behavior


Book Description

Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.




Principles of Modeling and Simulation


Book Description

Explores wide-ranging applications of modeling and simulation techniques that allow readers to conduct research and ask "What if?" Principles of Modeling and Simulation: A Multidisciplinary Approach is the first book to provide an introduction to modeling and simulation techniques across diverse areas of study. Numerous researchers from the fields of social science, engineering, computer science, and business have collaborated on this work to explore the multifaceted uses of computational modeling while illustrating their applications in common spreadsheets. The book is organized into three succinct parts: Principles of Modeling and Simulation provides a brief history of modeling and simulation, outlines its many functions, and explores the advantages and disadvantages of using models in problem solving. Two major reasons to employ modeling and simulation are illustrated through the study of a specific problem in conjunction with the use of related applications, thus gaining insight into complex concepts. Theoretical Underpinnings examines various modeling techniques and introduces readers to two significant simulation concepts: discrete event simulation and simulation of continuous systems. This section details the two primary methods in which humans interface with simulations, and it also distinguishes the meaning, importance, and significance of verification and validation. Practical Domains delves into specific topics related to transportation, business, medicine, social science, and enterprise decision support. The challenges of modeling and simulation are discussed, along with advanced applied principles of modeling and simulation such as representation techniques, integration into the application infrastructure, and emerging technologies. With its accessible style and wealth of real-world examples, Principles of Modeling and Simulation: A Multidisciplinary Approach is a valuable book for modeling and simulation courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for researchers and practitioners working in statistics, mathematics, engineering, computer science, economics, and the social sciences who would like to further develop their understanding and knowledge of the field.