Some Complex Systems Paradigms:
 Dynamical Systems Paradigm: When a System is Unstable or Chaotic, Discrete Master Equations privide more Accurate Models than the Correspnding Differential Equations (A. Gerig and A. Hubler, preprint)
 Harmony: Selfadjusting Systems Avoid Chaos => Adaptation to the Edge of Chaos
P. Melby, J. Kaidel, N. Weber, A. Hubler, Adaptation to the Edge of Chaos in the SelfAdjusting Logistic Map, Phys.Rev.Lett 84 59915993 (2000)
P. Melby, N. Weber, A. Hubler, Robustness of Adaptation in Controlled Selfadjusting Chaotic Systems, Phys. Fluctuation and Noise Lett. 2, L285L292 (2002)
 Minimum Resistance: State of Least Resistance is Preferred
M. Dueweke, U. Dierker, A. Hubler, Selfassembling Electrical Connections Based on the Principle of Minimum Resistance, Phys.Rev.E 54, 496506 (1996)
M. Sperl, A Chang, N. Weber, A. Hubler, Hebbian Learning in the Agglomeration of Conducting Particles, Phys.Rev.E. 59, 31653168 (1999)
D. Smyth, A. Hubler, A ConductivityDependent Phase Transition from ClosedLoop to OpenLoop Dendritic Networks, Complexity 9, 5660(2003).
Joseph K. Jun and Alfred W. Hubler, Formation and structure of ramified charge transportation networks in an electromechanical system, PNAS 102, 536–540 (2005).
 Prediction of Chaos: Long Term Behavior Originates at Singular Points (V. Strelioff and A. Hubler, preprint)
 Control of Chaos: Equal Attention to All Relevant Variables => Success
A. Hubler, Adaptive Control of Chaotic Systems, Helv.Phys,Acta 62,343 (1989)
B. Plapp, A. Hubler, Nonlinear Resonances and Suppression of Chaos in the rfBiased Josephson Junction, Phys.Rev.Lett 65, 23032306 (1990)
 Leadership: Agent with the Largest Moment of Surprise Wins Competition
A. Hubler, D. Pines, Prediction and Adaptation in an Evolving Chaotic Environment, in Complexity: From Metapher to Reality, G. Cowan, D. Pines, G. Meltzer (Eds.), AdisonWesley, 1994, 42 pages
D. Pierre, A. Hubler, A Theory for Adaptation and Competition Applied to Logistic Map Dynamics, Physica D 75, 343360 (1994)
 Nonlinear Resonances: Nonlinear Dynamical Systems React Most Sensitiv to their Own Dynamics
G. Foster, A. Hubler, Robust and Efficient Interaction with Complex Systems, Proceedings of 2003 IEEE International Conference on Systems, Man & Cybernetics, 20292034(2003)
J.Xu, A. Hubler, Enhanced Diffraction Pattern from a Fibonnaci Chain, Phys.Rev.B 67, 184202(2003)
A. Hubler, U. Kuhl, R. Wittmann, T. Nagata, Sharp Diffraction Peaks from Chaotic Structures, CHAOS 7, 577589 (1997)
C. Wargitsch, A. Hubler, Resonances of Nonlinear Oscillators, Phys.Rev.E 51 15081519 (1995)
Glenn Foster, Alfred W. Hübler, Karin Dahmen, Resonant forcing of multidimensional chaotic map dynamics, to appesr in Phys. Rev. E 2007
G. Foster, A. Hubler, K. Dahmen, Resonance Spectroscopy with Chaotic Forcing Functions, preprint 2007
 Clock Paradigm: The fast clock locks the slow clock.
 Quatization of Emergent Structures: Dissipative Wave Particle Systems tend to have Attractors which are Separated in Space.
 The Whole is More than the Sum of the Parts: When the TopDown and the BottomUp Sequences of Symmetry Breakings Match the Must Stable Structures Emerge.
Alfred W. Hubler, Predicting Complex Systems with a Holistic Approach, Complexity 10, 1116 (2005)
