The profession of modeling and simulation : discipline, ethics, education, vocation, societies, and economics

Select an Action

Place Hold(s)
Add to My Lists
Email
Print

Title:

Author:

Tolk, Andreas, editor.

ISBN:

9781119288220

9781119288107

9781119288091

9781119288084

Edition:

1st edition.

Physical Description:

1 online resource

Series:

Wiley series in modeling and simulation

Contents:

The Profession of Modeling and Simulation: Discipline, Ethics, Education, Vocation, Societies, and Economics -- Contents -- Foreword -- Preface -- List of Contributors -- Notes on Contributors -- Part I: Foundation -- 1: An Introduction to the Facets of the Profession of Modeling and Simulation -- 1.1 Profession, Professionals, and Professionalism -- 1.2 Contributions of the Chapters -- References -- 2: An Index to the Body of Knowledge of Simulation Systems Engineering -- 2.1 Introduction -- 2.2 Foundations of Simulation Systems Engineering -- 2.3 Applications of SSE -- 2.4 SSE Knowledge Areas -- 2.4.1 An Index of SSE Knowledge Areas -- 2.4.2 Foundations -- 2.4.3 Engineering -- 2.4.4 Practice -- 2.5 The Ontology of SSE -- 2.5.1 Ontologies and Simulation -- 2.5.2 Simulation Systems Engineering Ontology -- 2.6 Conclusion and Outlook -- References -- 3: Code of Ethics -- 3.1 Introduction -- 3.2 Ethics in Technology and Engineering -- 3.3 Codifying Ethics -- A Discussion -- 3.4 A Code of Professional Ethics for Simulationists -- 3.4.1 Context for Developing the Code -- 3.4.2 Published Text of the Code -- 3.4.3 Translations and Organizational Adoptions -- 3.5 Application Examples -- 3.5.1 Characteristics of a Scholar -- 3.5.2 Collaboration as MandS Professionals -- 3.5.3 The Nature of Modeling and Simulation -- 3.5.4 Giving Back to the Community -- 3.6 Summary -- References -- Part II: Education -- 4. M& -- S as a Profession and an Academic Discipline: A Contemporary View -- 4.1 Introduction -- 4.2 Background -- 4.2.1 Modeling and Simulation Enabling Factors -- 4.2.2 Industry Growth -- 4.3 Academic Program Development and Evolution -- 4.3.1 Introduction -- 4.3.2 Modeling and Simulation Programs -- 4.3.3 Computational Science and Engineering Programs -- 4.3.4 Computational Media Programs -- 4.4 Future Program Evolution -- References.

5: Academic Education Supporting the Professional Landscape -- 5.1 Overview -- 5.2 The Science of Modeling and Simulation -- 5.3 Modeling and Simulation Education -- 5.3.1 Professional Versus Academic Education -- 5.3.2 DoD Modeling and Simulation Workforce Development -- 5.3.3 M& -- S Science and the Body of Knowledge -- 5.4 Current State of M& -- S Professional Education -- 5.4.1 Software Training -- 5.4.2 Short Courses -- 5.4.3 Certificate Programs -- 5.4.4 Organization-Specific Education -- 5.4.5 U.S. Army M& -- S Professional Support -- 5.5 A Look Forward -- 5.5.1 A Combined Approach to M& -- S Competence -- 5.5.2 Principles of M& -- S Education -- 5.5.3 Professional Education Course Catalog -- Acknowledgments -- References -- 6: The Certified Modeling and Simulation Professional Certification and Examination -- 6.1 Overview and Introduction -- 6.2 Introduction to the CMSP Certification -- 6.2.1 Overview of the Certification -- 6.2.2 History and Governance -- 6.3 Examination Content and Questions -- 6.3.1 Structure and Intent -- 6.3.2 Topics and Subtopics -- 6.3.3 Question Counts, Sources, Formats, and Attributes -- 6.3.4 Question Quality Control -- 6.3.5 Examination Instances -- 6.3.6 Degree of Difficulty -- 6.4 Examination Delivery System -- 6.4.1 Trade Study on Existing Examination Software Packages -- 6.4.2 Examination Process from a Candidate's Perspective -- 6.4.3 Examination Web site System Structure and Administrative Features -- 6.4.4 Question Bank and Database Format -- 6.5 Future Work -- Acknowledgements -- References -- Part III: Society -- 7: Modeling and Simulation Societies Shaping the Profession -- 7.1 Overview and Introduction -- 7.2 The Importance of Societies and Associations -- 7.3 The Organization of the Modeling and Simulation Profession.

7.4 Societies and Associations Focused on Advancing the Discipline of Modeling and Simulation -- 7.4.1 Society for Modeling and Simulation International -- 7.4.2 Simulation Interoperability Standards Organization -- 7.4.3 Association of Computer Machinery Special Interest Group on Simulation and Modeling -- 7.5 Societies and Associations Focused in Specific Areas or Industries -- 7.5.1 Operations Research Societies and Associations -- 7.5.1.1 Institute for Operations Research and the Management Sciences -- 7.5.1.2 Military Operations Research Society -- 7.5.1.3 Operational Research Society -- 7.5.2 Healthcare Societies and Associations -- 7.5.3 Environmental Societies and Associations -- 7.5.4 Social Science Societies and Associations -- 7.5.5 Defense Societies and Associations -- 7.6 National Societies and Associations -- 7.7 The Future -- 7.8 Summary -- References -- 8: The Uniformed Military Modeling and Simulation Professional -- 8.1 Military Modeling and Simulation Graduate Education -- 8.2 Military Career Paths in Modeling and Simulation -- 8.3 The Modeling and Simulation Professional Landscape -- 8.4 Preparing Military Officers to be Modeling and Simulation Professionals -- 8.5 Conclusions -- References -- 9: M& -- S as a Profession and Discipline in China -- 9.1 Technology System and Research Progress of Simulation Discipline -- 9.1.1 Technology System of Chinese Simulation Discipline -- 9.1.2 Main Progresses and Achievements of Chinese Simulation Research -- 9.2 Situation of Simulation Education -- 9.2.1 Undergraduate Education of Simulation Specialty -- 9.2.2 Postgraduate Education of Simulation Specialty -- 9.2.3 Simulation Specialty Curriculum System -- 9.2.4 Simulation-related Teaching Materials -- 9.3 Academic Exchange and Cooperation of Simulation -- 9.3.1 Simulation Academic Organization and Introduction.

9.3.2 Introduction of Chinese Main Simulation Journals -- 9.3.3 Introduction of Main Chinese Simulation Conferences -- 9.4 Development of Simulation Industry -- 9.4.1 Application of Simulation Technology -- 9.4.2 Demand of Simulation Talents -- 9.5 Conclusion -- References -- 10: Modeling and Simulation for the Enterprise: Integrating Application Domains for the M& -- S Professional -- 10.1 Introduction -- 10.2 Outline of Challenges and Constraints of Applying M& -- S -- 10.2.1.1 Our Thought Experiment -- 10.2.1.2 All Models are Wrong -- Some are Useful -- 10.2.1.3 Stovepipes Often Involve Incompatible and Competing Objectives -- 10.2.1.4 Stovepiped Cultures Become Technical Monocultures -- 10.2.1.5 Stovepiped Cultures are Often Uninformed about Capabilities Available in Other Parts of the Enterprise -- 10.2.1.6 Leaders of Stovepipes are Ultimately Disincentivized to Cooperate -- 10.2.1.7 Business Practice can Represent a Further Challenge to Sharing Among Stovepipes -- 10.3 An Argument for Overcoming the Challenges and Constraints -- 10.4 Definition of an Enterprise M& -- S Strategy and How It Maps to Business Strategy and Practice -- 10.4.1.1 Modeling and Simulation in an Enterprise Context -- 10.5 Extant Technologies That Should Be Brought to Bear to Realize the Vision of an Enterprise M& -- S Strategy -- 10.5.1 Verification, Validation, and Accreditation -- 10.5.1.1 Problem Domain -- 10.5.1.2 M& -- S Tool Domain -- 10.5.1.3 User Domain -- 10.5.1.4 Integrated Solution Space -- 10.5.1.5 Solution Space Correlation Coefficient -- 10.5.1.6 Credibility Criteria -- 10.5.1.7 Enterprise Solution Manifold -- 10.5.1.8 Caveats -- 10.5.2 Standards -- 10.5.3 Other Techniques and Technologies That Should Be Considered -- 10.6 Concluding Thought -- Acknowledgment -- References -- Part IV: Application.

11: A Complexity and Creative Innovation Dynamics Perspective to Sustaining the Growth and Vitality of the M& -- S Profession -- 11.1 Introduction -- 11.1.1 Background on the Scientific and Societal Role of Simulation -- 11.1.2 Motivation -- 11.2 Sustaining the Growth and Vitality of M& -- S -- 11.3 Alignment of the Discipline, Field, and Individual Researcher in M& -- S -- 11.4 Managing the Complexity of the M& -- S Innovation Ecosystem -- 11.4.1 M& -- S Innovation EcoSystem -- 11.4.2 Sustaining the M& -- S Field as a Complex System -- 11.4.2.1 Heterogeneity -- 11.4.2.2 Interdependence -- 11.5 Conclusions -- References -- 12: Theory and Practice of MandS in Cyber Environments -- 12.1 Introduction -- 12.2 Cyber Complex Adaptive Systems (CyCAS) Framework -- 12.3 Cyber Experimentation and T& -- E Environment -- 12.3.1 Cyber ranges and Logical ranges -- 12.3.2 Multilevel Effects -- 12.4 Theory of MS for System of Systems -- 12.4.1 Discrete Event Systems Specification (DEVS) Formulation of SoS -- 12.4.2 Hierarchy of System Specifications -- 12.4.3 The M& -- S Framework (MSF) and its Entities -- 12.4.4 Intended Uses (IUs) and Experimental Frames (EFs) -- 12.5 Cyber M& -- S with DEVS -- 12.5.1 Modeling a CyCAS -- 12.5.2 Simulation of CyCAS -- 12.5.3 From CyCAS Views to M& -- S -- 12.5.4 Security and Vulnerability inclusion in CyCAS Views -- 12.6 Validation and Verification in Cyber M& -- S -- 12.6.1 Validity and Partial-Order Relations -- 12.6.2 V& -- V within Cyber M& -- S -- 12.7 Discussion & -- Conclusions -- Acknowledgements -- Disclaimer -- References -- Part V: Economics -- 13: Funding an Academic Simulation Project: The Economics of M& -- S -- 13.1 Introduction -- 13.2 Background -- 13.2.1 Evaluated Datasets -- 13.2.2 An Overview of Content Analysis and Leximancer.

Abstract:

The definite guide to the theory, knowledge, technical expertise, and ethical considerations that define the M & S profession From traffic control to disaster management, supply chain analysis to military logistics, healthcare management to new drug discovery, modeling and simulation (M & S) has become an essential tool for solving countless real-world problems. M & S professionals are now indispensable to how things get done across virtually every aspect of modern life. This makes it all the more surprising that, until now, no effort has been made to systematically codify the core theory, knowledge, and technical expertise needed to succeed as an M & S professional. This book brings together contributions from experts at the leading edge of the modeling and simulation profession, worldwide, who share their priceless insights into issues which are fundamental to professional success and career development in this critically important field. Running as a common thread throughout the book is an emphasis on several key aspects of the profession, including the essential body of knowledge underlying the M & S profession; the technical discipline of M the ethical standards that should guide professional conduct; and the economic and commercial challenges today's M & S professionals face. - Demonstrates applications of M & S tools and techniques in a variety of fields-such as engineering, operations research, and cyber environments-with over 500 types of simulations - Highlights professional and academic aspects of the field, including preferred programming languages, professional academic and certification programs, and key international societies - Shows why M & S professionals must be fully versed in the theory, concepts, and tools needed to address the challenges of cyber environments The Profession of Modeling and Simulation is a valuable resource for M & S practitioners, developers, and researchers working in industry and government. Simulation professionals, including administrators, managers, technologists, faculty members, and scholars within the physical sciences, life sciences, and engineering fields will find it highly useful, as will students planning to pursue a career in the M & S profession." ... nearly three dozen experts in Modeling and Simulation (M & S) come together to make a compelling case for the recognition of M & S as a profession ... 'mportant reading for anyone seeking to elevate the standing of this vital field." Alfred (Al) Grasso, President & CEO, The MITRE Corporation Andreas Tolk, PhD, is Technology Integrator for the Modeling, Simulation, Experimentation, and Analytics Division of The MITRE Corporation, an adjunct professor in the Department of Engineering Management and Systems Engineering and the Department for Modeling, Simulation, and Visualization Engineering at Old Dominion University, and an SCS fellow. Tuncer Oren, PhD, is Professor Emeritus of Computer Science at the University of Ottawa. He is an SCS fellow and an inductee to SCS Modeling and Simulation Hall of Fame. His research interests include advancing methodologies, ethics, body of knowledge, and terminology of modeling and simulation.

Local Note:

John Wiley and Sons

Subject Term:

Mathematics -- Vocational guidance.

Modèles mathématiques.

Simulation par ordinateur.

simulation.

BUSINESS & ECONOMICS -- Labor.