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Modeling and simulation (M\u0026amp;S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries—and interactions—of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today’s world, M\u0026amp;S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation.  This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as:    Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives  Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M\u0026amp;S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M\u0026amp;S discipline.  Tuncer Ören is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M\u0026amp;S Body of Knowledge.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ GARDNERS","offer_id":49750105456913,"sku":"NGR9783031110849","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/3031110846.jpg?v=1751415265"},{"product_id":"modelling-and-simulation-book-louis-g-birta-9781447127826","title":"Modelling and Simulation","description":"This textbook presents a practical introduction to the fundamental aspects of modelling and simulation. 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Topics and features:      Discover from top thought leaders the predictions of how digital twins, simulation, and metaverses will evolve in direction, requirements, and capabilities Exploit the understanding of how digital-twin metaverses will revolutionize the effectiveness and efficiency of 21st-century work Explore cutting-edge, real-life applications of digital twins, simulation, and the metaverse (spanning a diverse array of industries and sectors) Understand the different views and perspectives of digital twins and metaverses shared by academia, industry, and government authors from around the world Learn how to harness the power of simulation in the world of digital twins and metaverses    This unique volume consists of works from internationally renowned experts representing a diverse array of industries and sectors. It will be eminently suitable for researchers and practitioners working on modeling and simulation, digital twins, and the metaverse. 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The coverage incorporates cloud-based M\u0026amp;S as a medium for facilitating CPS engineering and governance, and elaborates on available cloud-based M\u0026amp;S technologies and their impacts on specific aspects of CPS engineering.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52474234470673,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52474235584785,"sku":"NLS9783030519117","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783030519117.jpg?v=1759841006"},{"product_id":"seminal-contributions-to-modelling-and-simulation-book-khalid-al-begain-9783319816029","title":"Seminal Contributions to Modelling and Simulation","description":"Marking the 30th anniversary of the European Conference on Modelling and Simulation (ECMS), this inspirational text\/reference reviews significant advances in the field of modelling and simulation, as well as key applications of simulation in other disciplines. 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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 afocus 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 nextgeneration of WSC pioneers.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52500711735569,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":52500712456465,"sku":"NGR9783319877433","price":0.0,"currency_code":"GBP","in_stock":false}]},{"product_id":"guide-to-modeling-and-simulation-of-systems-of-systems-book-bernard-p-zeigler-9783319877310","title":"Guide to Modeling and Simulation of Systems of Systems","description":"This guide demonstrates how virtual build and test can be supported by the Discrete Event Systems Specification (DEVS) simulation modeling formalism, and the System Entity Structure (SES) simulation model ontology. 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The text focuses on both the theoretical and practical aspects of developing and implementing physically based dynamic-simulation engines. Each chapter examines numerous algorithms, describing their design and analysis in an accessible manner, without sacrificing depth of coverage or mathematical rigor. Features: examines the problem of computing an hierarchical representation of the geometric description of each simulated object, as well as the simulated world; discusses the use of discrete and continuous collision detection to handle thin or fast-moving objects; describes the computational techniques needed for determining all impulsive and contact forces between bodies with multiple simultaneous collisions and contacts; presents techniques that can be used to dynamically simulate articulated rigid bodies; concludes each chapter with exercises.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52680349516049,"sku":"NLS9781447144168","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781447144168.jpg?v=1762312905"},{"product_id":"artificial-intelligence-in-modeling-and-simulation-book-philippe-giabbanelli-9783032226471","title":"Artificial Intelligence in Modeling and Simulation","description":"Simulation and artificial intelligence are becoming a single, powerful ecosystem for understanding and shaping the world. From digital twins and reinforcement learning to large language models and synthetic data, this volume captures how AI and modeling and simulation together are redefining how we explore complexity, uncertainty, and decision-making.    Artificial Intelligence and Modeling and Simulation brings together leading researchers who show how AI can support every stage of a simulation study, from model specification and input modeling to execution, verification, and analysis. It also demonstrates how simulations provide critical data, training environments, and validation platforms for AI. Chapters are supplemented by exercises, including in-depth exploratory questions that provide a guided, hands-on experience. The volume offers a coherent roadmap for navigating an increasingly interconnected ecosystem of models, data, and learning algorithms.    Topics and features:   ·         Complete coverage of the AI–simulation pipeline, from conceptual modeling and input modeling to verification, validation, and result interpretation   ·         State-of-the-art methods including surrogate modeling, reinforcement learning, and large language models applied directly to modeling and simulation problems   ·         Rigorous treatment of verification, validation, and benchmarking, including risks, uncertainty, and the limits of black-box models   ·         Interdisciplinary case studies spanning healthcare, energy, political history, wildlife education, and evacuation   This book provides comprehensive research guidance on methods, applications, and open problems at the interface of artificial intelligence and modeling and simulation. This is written for researchers and graduate students who seek research methods in AI and simulation, as well as for industry professionals and practitioners in data science or digital twins.    The book is edited by Dr. Philippe Giabbanelli (full professor by research at Old Dominion University, USA) and Dr. Istvan David (assistant professor at McMaster University, Canada). 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