9 Principles of System Science - Understanding Complex Systems

Book by George E. Mobus, Michael C. Karlton - Buy on Amazon

There are 9 or 12 main principles of System Science - according to this book and Dr. Shiva Ayyadurai

• Principle 1: Systemness


• Principle 2: Systems Are Processes Organized in Structural and Functional Hierarchies


• Principle 3: Systems Are Networks of Relations Among Components and Can Be Represented Abstractly as Such Networks of Relations


• Principle 4: Systems Are Dynamic over Multiple Spatial and Time Scales


• Principle 5: Systems Exhibit Various Kinds and Levels of Complexity


• Principle 6: Systems Evolve


• Principle 7: Systems Encode Knowledge and Receive and Send Information


• Principle 8: Systems Have Regulatory Subsystems to Achieve Stability


• Principle 9: Systems Can Contain Models of Other Systems


• Principle 10: Sufficiently Complex, Adaptive Systems Can Contain Models of Themselves


• Principle 11: Systems Can Be Understood (A Corollary of #9)


• Principle 12: Systems Can Be Improved (A Corollary of #6)

Reference: Principles of System Science - Understanding Complex Systems by George E. Mobus, Michael C. Karlton
© Springer Science+Business Media New York 2015