1. System Holism Principle: A system has holistic properties possessed by none of its parts. Each of the system parts has properties not possessed by the system as a whole.
2. Darkness Principle: no system can be known completely.
3. Eighty-Twenty Principle: In any large, complex system, eighty percent of the output will be produced by only twenty percent of the system.
4. Complementarity Law: Any two different perspectives (or models) about a system will reveal truths about that system that are neither entirely independent nor entirely compatible.
5. Hierarchy Principle: Complex natural phenomena are organized in hierarchies with each level made up of several integral systems.
6. Godel’s Incompleteness Theorem: All consistent axiomatic foundations of number theory include undecidable propositions.
7. Entropy – the Second Law of Thermodynamics: In any closed system the differences in energy can only stay the same or decrease over time; or, in any closed system the amount of order (or organization) can never increase and must eventually decrease.
8. Redundancy of Information Theorem: Errors in information transmission can be protected against (to any level of confidence required) by increasing the redundancy in the messages.
9. Redundancy of Resources Principle: Maintenance of stability under conditions of disturbance requires redundancy of critical resources.
10. Redundancy of Potential Command Principle: In any complex decision network, the potential to act effectively is conferred by an adequate concatenation of information.
11. Relaxation time Principle: System stability is possible only if the system’s relaxation time is shorter than the mean time between disturbances.
12. Circular Causality Principle One: Given positive feedback (i.e., a two-part system in which each stimulates any initial change in the other), radically different end states are possible from the same initial conditions.
13. Circular Causality Principle Two: Given negative feedback (i.e., a two-part system in which each part tends to offset any change in the other), the equiibrial state is invariant over a wide range of initial conditions.
14. Feedback dominance theorem: For high gain amplifiers, the feedback dominates the output over wide variations in input.
15. Homeostasis Principle: A system survives only so long as all essential variables are maintained within their physiological limits.
16. Steady State Principle: If a system is in a state of equilibrium (a steady state), then all sub-systems must be in equilibrium. If all sub-systems are in a state of equilibrium, then the system must be in equilibrium.
17. Requisite Variety Law: The control achievable by a given regulatory sub-system over a given system is limited by 1) the variety of the regulator, and 2) the channel capacity between the regulator and the system.
18. Conant-Ashby theorem: Every good regulator of a system must be a model of that system.
19. Self-Organizing Systems Principle: Complex systems organize themselves; the characteristic structural and behavioral patterns in a complex system are primarily a result of the interactions among the system parts.
20. Basins of Stability Principle: Complex systems have basins of stability separated by thresholds of instability. A system “parked” on a ridge will “roll downhill”.
21. Viability Principle: Viability is a function of the balance maintained along two dimensions: 1) autonomy of sub-systems versus integration of the system as a whole, and 2) stability versus adaptation.
22. Recursive System Theorem: If a viable system contains a viable system, then the organizational structure must be recursive; or, in a recursive organizational structure, any viable system contains, and is contained in, a viable system.