Epistemological Implications

21. Dynamics of Complex Systems

• Complex systems are made up of
  • Elements (and their number)
  • Interactions (and their strength)
  • Formation/Operation (and their time scales)
  • Diversity/Variability (changes that take place in the system)
  • Environment (and its demands)
  • Activity(ies) (and its[their] objective[s])
• Emergence studies how aspects of these features come to interact with each other as they do in particular contexts and under particular conditions.
• Complexity describes (mathematically) the density of the relationships among the aspects.

Computational resources and approaches are critical to understanding the dynamics of complex systems and this approach folds back as a way to explain how computational communication systems work in the world. In order to do this work, one must:

• Not take it apart. Since interactions between parts of a complex system are essential to understanding its behavior, looking at parts by themselves is not sufficient. It is necessary to look at parts in the context of the whole. Similarly, a complex system interacts with its environment, and this environmental influence is important in describing the behavior of the system.
• Not assume smoothness. Chaotic systems are a good example: simple linear equations don't predict them accurately.
• Not assume that only a few parameters are important.The behavior of complex systems depends on many independent pieces of information. The factors required for understanding are too complex for human thought to keep track of on its own, so computer simulations keep track of many parameters and may be used in the study of dynamical processes.
  • In Bubbles, She Sees a Mathematical Universe
  • https://www.nytimes.com/2019/04/08/science/uhlenbeck-bubbles-math-physics.html
  • Dancing water
  • https://www.nytimes.com/video/science/100000006415939/spinning-water-droplets-that-defy-physics.html
    

Lean software development and general systems

Agile software development and general systems

• Notice that some principles (in each) support broad systems analysis approaches; other aspects violate them.

• From this perspective, Digital Visualization works as as a vital new conceptual tool.

• Digital introduces new attention structures.
• Our attention is drawn to
  • Dynamic stability
  • Chaos Boundary conditions
  • The liminal (in gray areas)
  • the fact that life is information which creates new meanings.
  • Digital promoting self-consciousness about oscillation.

Hawking, a personal journey (12:00) (the new communication system)

Moving this augmented communication project along:

Cisco Visual Networking Index: Forecast and Methodology, 2015-2020 White Paper
http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/complete-white-paper-c11-481360.html
Executive Summary

Using graphic visualizations to summarize/describe massive data sets. 2 examples:

Cisco info graphic of their white paper:
http://www.cisco.com/c/dam/en/us/solutions/service-provider/vni-network-traffic-forecast/index.html

Concept 21 Application Note article:

From video game to day job: How ‘SimCity’ inspired a generation of city planners

Want to learn more?

Center for the Study of Complex Systems (Univ. of MI)
The Dynamics of Complex Systems, Yaneer Bar-Yam