Toward solving complex human problems techniques for increasing our understanding of what matters in doing so
This book serves three basic purposes: (1) a tutorial-type reference for complex systems engineering (CSE) concepts and associated terminology, (2) a recommendation of a proposed methodology showing how the evolving practice of CSE can lead to a more unified theory, and (3) a complex systems (CSs) i...
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| Format: | eBook |
| Language: | English |
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Boca Raton, FL
CRC Press
2021
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| Series: | Complex and enterprise systems engineering
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Intro
- Half Title
- Series Page
- Title Page
- Copyright Page
- Dedication
- Contents
- Foreword
- Prologue
- Author
- 1. Introduction
- A Tutorial of Sorts
- Introduction
- Definitions
- Complexity Terms
- System Terms
- Engineering Terms
- Elaborations on Some Defined Systems and Their Nuances
- System of Systems
- Non-Technological SoS Factors
- SoS Leadership and Management
- SoS Engineering
- SoS Interoperability
- SoS Architecting
- SoS Modeling and Simulation
- SoS Summary
- Enterprises
- The Enterprise as a System
- Complex Systems
- Degrees of Complexity
- Includes bibliographical references and index
- Activity 6: Stimulate Natural Processes
- Activity 7: Develop in Operational Environs
- Activity 8: Assess, Learn, and Re-Plan
- Complex Systems Engineering Principles
- CASE Methodology (Latest Version)
- 1a
- Changing Mindsights
- 1b
- Understanding Persistent Problem
- 2a
- Balancing Opportunities and Risks
- 2b
- Mounting Organizational Efforts
- 2c
- Evaluating Stakeholders
- 2d
- Postulating Desirable Outcome Space
- 3a
- Building Team and Resources
- 3b
- Deciding System Boundary
- 3c
- Creating Anti-Fragility [18]
- 3d
- Adjusting Incentive Structures
- Conclusion
- Acknowledgment
- References
- 2. Evolution of Practice
- Theory of Complex Adaptive Systems Engineering
- Introduction
- Complexity and Complex Systems
- Complexity Characteristics
- Complex System Behaviors
- Complex System Examples
- Complex System Profilers
- Stakeholders
- Complex Systems Engineering
- CASE Methodology (Early Version)
- Activity 1: Create Climate for Change
- Activity 2: Architect a Strategy
- Activity 3: Target Outcome Spaces
- Activity 4: Reward Results
- Activity 5: Formulate Decision-Making Heuristics
- Extremely Complex Problems
- Complex Architecture Considerations
- Description a
- Description b
- Description c
- Description d
- Description e
- Description f
- Description g
- Other Questions
- Requirements Complexity
- Requirements Difficulty
- Cognitive Fog
- Stable Stakeholder Relationships
- Sensitivity to Initial Conditions
- Self-Organization
- Leadership (also, see [24] from Chapter 3)
- Co-Evolution
- Opportunity and Risk
- Modularity
- Complex Systems Engineering
- Interpreting Scale (or View) and Emergence in Complex Systems Engineering
- Practice Drives Theory
- 4a
- Stimulating Self-Organized Collaborations
- 4b
- Establishing Architecture
- 5a
- Proposing Specific Interventions
- 5b
- Brainstorming Potential Approaches
- 5c
- Helping Decision Takers
- 6a
- Modeling and Simulating Behaviors
- 6b
- Experimenting with Users
- 6c
- Taking Appropriate Actions
- 7
- Measuring What Happens
- 8
- Assessing Results
- 9a
- Adding Incremental Capabilities
- 9b
- Instituting Lessons Learned
- 10a
- Rewarding Contributors for Useful Results
- 10b
- Publicizing Progress
- 11
- Renewing Continued Effort?