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Modelling And Simulation

Author: Louis G. Birta
Publisher: Springer Science & Business Media
ISBN: 1447127838
Size: 79.77 MB
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This textbook presents a practical introduction to the fundamental aspects of modelling and simulation. It provides the necessary foundations both for those wishing to learn about this methodology and also for those who have a need to apply it in their work. Illustrative examples are drawn from projects formulated within the domains of both DEDS and CTDS. Features: presents a project-oriented perspective; describes an activity-based conceptual modelling framework (ABCmod) for DEDS; includes a new chapter that presents a novel world view, the Activity-Object world view, which eases the translation of a conceptual model specification in the ABCmod framework into a simulation program; contains numerous illustrative examples, useful algorithms, exercises and projects; includes a primer on probability, a concise guide to the GPSS programming environment and an overview of relevant MATLAB features in the appendices; provides supplementary software and teaching support material at an associated website.

Interactive Modeling And Simulation In Business System Design

Author: Ella Roubtsova
Publisher: Springer
ISBN: 3319151029
Size: 61.76 MB
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This classroom-texted textbook/reference presents a set of useful modeling techniques, describing how these can be combined into a powerful framework for the analysis and design of business systems. These techniques follow an interactive modeling and simulation (IMS) approach, enabling the modeling and simulation of separate parts of the system at different levels of abstraction, and the composition of these parts in a flexible crosscutting manner that preserves the behavior of the individual parts. Topics and features: presents a detailed introduction to the foundations of IMS for business system design, covering protocol modeling and goal modeling semantics; describes the practical application of IMS for business system design, illustrated by a selection of useful case studies; highlights the advantages of this approach to IMS for business system design, with a focus on performance management, motivation modeling, and communication; includes review questions and exercises at the end of each chapter.

Distributed Simulation

Author: Okan Topçu
Publisher: Springer
ISBN: 3319030507
Size: 52.88 MB
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This unique text/reference provides a comprehensive review of distributed simulation (DS) from the perspective of Model Driven Engineering (MDE), illustrating how MDE affects the overall lifecycle of the simulation development process. Numerous practical case studies are included to demonstrate the utility and applicability of the methodology, many of which are developed from tools available to download from the public domain. Topics and features: Provides a thorough introduction to the fundamental concepts, principles and processes of modeling and simulation, MDE and high-level architecture Describes a road map for building a DS system in accordance with the MDE perspective, and a technical framework for the development of conceptual models Presents a focus on federate (simulation environment) architectures, detailing a practical approach to the design of federations (i.e., simulation member design) Discusses the main activities related to scenario management in DS, and explores the process of MDE-based implementation, integration and testing Reviews approaches to simulation evolution and modernization, including architecture-driven modernization for simulation modernization Examines the potential synergies between the agent, DS, and MDE methodologies, suggesting avenues for future research at the intersection of these three fields Distributed Simulation – A Model Driven Engineering Approach is an important resource for all researchers and practitioners involved in modeling and simulation, and software engineering, who may be interested in adopting MDE principles when developing complex DS systems.

Spatial Simulation

Author: David O'Sullivan
Publisher: John Wiley & Sons
ISBN: 1118527070
Size: 31.88 MB
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A ground-up approach to explaining dynamic spatialmodelling for an interdisciplinary audience. Across broad areas of the environmental and social sciences,simulation models are an important way to study systemsinaccessible to scientific experimental and observational methods,and also an essential complement to those more conventionalapproaches. The contemporary research literature is teemingwith abstract simulation models whose presentation ismathematically demanding and requires a high level of knowledge ofquantitative and computational methods and approaches. Furthermore, simulation models designed to represent specificsystems and phenomena are often complicated, and, as a result,difficult to reconstruct from their descriptions in theliterature. This book aims to provide a practical andaccessible account of dynamic spatial modelling, while alsoequipping readers with a sound conceptual foundation in thesubject, and a useful introduction to the wide-rangingliterature. Spatial Simulation: Exploring Pattern and Process isorganised around the idea that a small number of spatial processesunderlie the wide variety of dynamic spatial models. Its centralfocus on three ‘building-blocks’ of dynamic spatialmodels – forces of attraction and segregation, individualmobile entities, and processes of spread – guides the readerto an understanding of the basis of many of the complicated modelsfound in the research literature. The three building block modelsare presented in their simplest form and are progressivelyelaborated and related to real world process that can berepresented using them. Introductory chapters cover essentialbackground topics, particularly the relationships between pattern,process and spatiotemporal scale. Additional chaptersconsider how time and space can be represented in more complicatedmodels, and methods for the analysis and evaluation of models.Finally, the three building block models are woven together in amore elaborate example to show how a complicated model can beassembled from relatively simple components. To aid understanding, more than 50 specific models described inthe book are available online at patternandprocess.org forexploration in the freely available Netlogo platform. Thisbook encourages readers to develop intuition for the abstract typesof model that are likely to be appropriate for application in anyspecific context. Spatial Simulation: Exploring Patternand Process will be of interest to undergraduate and graduatestudents taking courses in environmental, social, ecological andgeographical disciplines. Researchers and professionals whorequire a non-specialist introduction will also find this book aninvaluable guide to dynamic spatial simulation.

Dynamic Modeling Of Environmental Systems

Author: Michael Deaton
Publisher: Springer Science & Business Media
ISBN: 9780387988801
Size: 55.85 MB
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A primer on modeling concepts and applications that is specifically geared toward the environmental field. Sections on modeling terminology, the uses of models, the model-building process, and the interpretation of output provide the foundation for detailed applications. After an introduction to the basics of dynamic modeling, the book leads students through an analysis of several environmental problems, including surface-water pollution, matter-cycling disruptions, and global warming. The scientific and technical context is provided for each problem, and the methods for analyzing and designing appropriate modeling approaches is provided. While the mathematical content does not exceed the level of a first-semester calculus course, the book gives students all of the background, examples, and practice exercises needed both to use and understand environmental modeling. It is suitable for upper-level undergraduate and beginning-graduate level environmental professionals seeking an introduction to modeling in their field.

Unifying Themes In Complex Systems Iv

Author: Ali A. Minai
Publisher: Springer Science & Business Media
ISBN: 3540738495
Size: 25.66 MB
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In June of 2002, over 500 professors, students and researchers met in Boston, Massachusetts for the Fourth International Conference on Complex Systems. The attendees represented a remarkably diverse collection of fields: biology, ecology, physics, engineering, computer science, economics, psychology and sociology, The goal of the conference was to encourage cross-fertilization between the many disciplines represented and to deepen understanding of the properties common to all complex systems. This volume contains 43 papers selected from the more than 200 presented at the conference. Topics include: cellular automata, neurology, evolution, computer science, network dynamics, and urban planning. About NECSI: For over 10 years, The New England Complex Systems Institute (NECSI) has been instrumental in the development of complex systems science and its applications. NECSI conducts research, education, knowledge dissemination, and community development around the world for the promotion of the study of complex systems and its application for the betterment of society. NECSI hosts the International Conference on Complex Systems and publishes the NECSI Book Series in conjunction with Springer Publishers. ALI MINAI is an Affiliate of the New England Complex Systems Institute and an Associate Professor in the Department of Electrical and Computer Engineering and Computer Science at the University of Cincinnati. YANEER BAR-YAM is President and founder of the New England Complex Systems Institute. He is the author of Dynamics of Complex Systems and Making Things Work: Solving Complex Problems in a Complex World.