Properties common to complex systems:

  • Simple components or agents (simple relative to whole system)
  • Nonlinear interactions among components
  • No central control
  • Emergent behaviors
    • Hierarchical organization
    • Information processing
    • Dynamics
    • Evolution or learning

Core Disciplines

  • Dynamics: The study of continually changing structure and behavior of systems
  • Information: The study of representation, symbols, and communication
  • Computation: The study of how systems process information and act on the results

Goals

  • Cross-disciplinary insights into complex systems
  • General theory

Methodologies

  • Experimental
  • Theoretical
  • Computer simulation

Definition

  1. Problems of simplicity: a few variables Examples:
  • Pressure and Temperature
  • Current, Resistance, and Voltage
  • Population vs. Time
  1. Problems of disorganized complexity: billions or trillions of variables Examples: Understanding laws of temperature and pressure as emerging from trillions of disorganized air molecules Science of Averages: Statistical Mechanics Assume little interaction among variables
  2. Problems of organized complexity: Moderate numbers of variables Strong, nonlinear interactions among variables “Problems which involve dealing simultaneously with a sizeable number of factors which are interrelated into an organic whole.” Examples:
  • What makes an evening primrose open when it does?
  • What is the description of aging in biochemical terms?
  • What is gene and how does the original genetic constitution of a living organism express itself in the developed characteristics of the adult?
  • On what does the price of wheat depend?
  • How can currency be wisely and effectively stabilized?
  • How can one explain the behavior pattern of an organized group of persons such as a labor union, or a group of manufacturers, or a racial minority

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Massachusetts Institute of Technology