Description

Book Synopsis

A comprehensive text that reviews the methods and technologies that explore emergent behavior in complex systems engineering in multidisciplinary fields

In Emergent Behavior in Complex Systems Engineering, the authors present the theoretical considerations and the tools required to enable the study of emergent behaviors in manmade systems. Information Technology is key to today's modern world. Scientific theories introduced in the last five decades can now be realized with the latest computational infrastructure. Modeling and simulation, along with Big Data technologies are at the forefront of such exploration and investigation.

The text offers a number of simulation-based methods, technologies, and approaches that are designed to encourage the reader to incorporate simulation technologies to further their understanding of emergent behavior in complex systems. The authors present a resource for those designing, developing, managing, operating, and maintai

Table of Contents

FOREWORD x

PREFACE xiii

ABOUT THE EDITORS xvi

LIST OF CONTRIBUTORS xviii

SECTION I EMERGENT BEHAVIOR IN COMPLEX SYSTEMS 1

1 Metaphysical and Scientific Accounts of Emergence: Varieties of Fundamentality and Theoretical Completeness 3
John Symons

2 Emergence: What does it mean and How is it Relevant to Computer Engineering? 21
Wesley J. Wildman and F. LeRon Shults

3 System Theoretic Foundations for Emergent Behavior Modeling: The Case of Emergence of Human Language in a Resource-Constrained Complex Intelligent Dynamical System 35
Bernard P. Zeigler and Saurabh Mittal

4 Generative Parallax Simulation: Creative Cognition Models of Emergence for Simulation-Driven Model Discovery 59
Levent Yilmaz

SECTION II EMERGENT BEHAVIOR MODELING IN COMPLEX SYSTEMS ENGINEERING 77

5 Complex Systems Engineering and the Challenge of Emergence 79
Andreas Tolk, Saikou Diallo, and Saurabh Mittal

6 Emergence in Complex Enterprises 99
William B. Rouse

7 Emergence in Information Economies: An Agent-Based Modeling Perspective 129
Erika Frydenlund and David C. Earnest

8 Modeling Emergence in Systems of Systems using Thermodynamic Concepts 149
John J. Johnson IV, Jose J. Padilla, and Andres Sousa-Poza

9 Induced Emergence in Computational Social Systems Engineering: Multimodels and Dynamic Couplings as Methodological Basis 171
Tuncer Ören, Saurabh Mittal, and Umut Durak

10 Applied Complexity Science: Enabling Emergence through Heuristics and Simulations 201
Michael D. Norman, Matthew T.K. Koehler, and Robert Pitsko

SECTION III ENGINEERING EMERGENT BEHAVIOR IN COMPUTATIONAL ENVIRONMENTS 227

11 Toward the Automated Detection of Emergent Behavior 229
Claudia Szabo and Lachlan Birdsey

12 Isolating the Causes of Emergent Failures in Computer Software 263
Ross Gore

13 From Modularity to Complexity: A Cross-Disciplinary Framework for Characterizing Systems 285
Chih-Chun Chen and Nathan Crilly

14 The Emergence of Social Schemas and Lossy Conceptual Information Networks: How Information Transmission can lead to the Apparent "Emergence" of Culture 321
Justin E. Lane

15 Modeling and Simulation of Emergent Behavior in Transportation Infrastructure Restoration 349
Akhilesh Ojha, Steven Corns, Tom Shoberg, Ruwen Qin, and Suzanna Long

SECTION IV RESEARCH AGENDA 369

16 Research Agenda for Next-Generation Complex Systems Engineering 371
Saikou Diallo, Saurabh Mittal, and Andreas Tolk

INDEX 391

Emergent Behavior in Complex Systems Engineering

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    A Hardback by Saurabh Mittal, Saikou Diallo, Andreas Tolk

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      Publisher: John Wiley & Sons Inc
      Publication Date: 29/06/2018
      ISBN13: 9781119378860, 978-1119378860
      ISBN10: 1119378869
      Also in:
      Physics

      Description

      Book Synopsis

      A comprehensive text that reviews the methods and technologies that explore emergent behavior in complex systems engineering in multidisciplinary fields

      In Emergent Behavior in Complex Systems Engineering, the authors present the theoretical considerations and the tools required to enable the study of emergent behaviors in manmade systems. Information Technology is key to today's modern world. Scientific theories introduced in the last five decades can now be realized with the latest computational infrastructure. Modeling and simulation, along with Big Data technologies are at the forefront of such exploration and investigation.

      The text offers a number of simulation-based methods, technologies, and approaches that are designed to encourage the reader to incorporate simulation technologies to further their understanding of emergent behavior in complex systems. The authors present a resource for those designing, developing, managing, operating, and maintai

      Table of Contents

      FOREWORD x

      PREFACE xiii

      ABOUT THE EDITORS xvi

      LIST OF CONTRIBUTORS xviii

      SECTION I EMERGENT BEHAVIOR IN COMPLEX SYSTEMS 1

      1 Metaphysical and Scientific Accounts of Emergence: Varieties of Fundamentality and Theoretical Completeness 3
      John Symons

      2 Emergence: What does it mean and How is it Relevant to Computer Engineering? 21
      Wesley J. Wildman and F. LeRon Shults

      3 System Theoretic Foundations for Emergent Behavior Modeling: The Case of Emergence of Human Language in a Resource-Constrained Complex Intelligent Dynamical System 35
      Bernard P. Zeigler and Saurabh Mittal

      4 Generative Parallax Simulation: Creative Cognition Models of Emergence for Simulation-Driven Model Discovery 59
      Levent Yilmaz

      SECTION II EMERGENT BEHAVIOR MODELING IN COMPLEX SYSTEMS ENGINEERING 77

      5 Complex Systems Engineering and the Challenge of Emergence 79
      Andreas Tolk, Saikou Diallo, and Saurabh Mittal

      6 Emergence in Complex Enterprises 99
      William B. Rouse

      7 Emergence in Information Economies: An Agent-Based Modeling Perspective 129
      Erika Frydenlund and David C. Earnest

      8 Modeling Emergence in Systems of Systems using Thermodynamic Concepts 149
      John J. Johnson IV, Jose J. Padilla, and Andres Sousa-Poza

      9 Induced Emergence in Computational Social Systems Engineering: Multimodels and Dynamic Couplings as Methodological Basis 171
      Tuncer Ören, Saurabh Mittal, and Umut Durak

      10 Applied Complexity Science: Enabling Emergence through Heuristics and Simulations 201
      Michael D. Norman, Matthew T.K. Koehler, and Robert Pitsko

      SECTION III ENGINEERING EMERGENT BEHAVIOR IN COMPUTATIONAL ENVIRONMENTS 227

      11 Toward the Automated Detection of Emergent Behavior 229
      Claudia Szabo and Lachlan Birdsey

      12 Isolating the Causes of Emergent Failures in Computer Software 263
      Ross Gore

      13 From Modularity to Complexity: A Cross-Disciplinary Framework for Characterizing Systems 285
      Chih-Chun Chen and Nathan Crilly

      14 The Emergence of Social Schemas and Lossy Conceptual Information Networks: How Information Transmission can lead to the Apparent "Emergence" of Culture 321
      Justin E. Lane

      15 Modeling and Simulation of Emergent Behavior in Transportation Infrastructure Restoration 349
      Akhilesh Ojha, Steven Corns, Tom Shoberg, Ruwen Qin, and Suzanna Long

      SECTION IV RESEARCH AGENDA 369

      16 Research Agenda for Next-Generation Complex Systems Engineering 371
      Saikou Diallo, Saurabh Mittal, and Andreas Tolk

      INDEX 391

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