Last modified: August 26, 2021
Bejan’s Constructal Law of Physics (CLaw), Live Complexity Training and Neurofeedback
Here I apply Bejan’s Constructal Law of Physics (CLaw) to adaptive networks and the concept of canonical sickness
behavior. This model will then be used to predict a form of technology-assisted self-regulation / self-realization
(TASR). Although I mention CLaw widely in these pages I must stress the importance of reading Prof Bejan’s text 
Bejan states, “For a finite-size flow system to persist in time (to live), its configuration must evolve in such a way that
provides easier access to the currents that flow through it.”
Flow systems (such as lava tubes, lightening bolts, rivers, micro-organisms, trees,
vasculature, energy grids, chemical structures, transportation systems, informational
networks) are all bounded systems that persist as long as they continue to evolve
toward easier access for the currents that flow through them. For example, the
fractal patterns seen in rivers, trees, and vasculature is the most efficient way to
move matter and energy from a point to a volume. As another example, a single
snowflake persists (lives) and grows in complexity as long as it continues to evolve
easier delivery of heat to the environment as it freezes. Trees persist and adapt in
order to facilitate the flow of water from the ground into the atmosphere. We can
observe slime mold evolving from individuals to a single organism that launches its
progeny over a 3D landscape model with a resultant network resembling the rail
network designed by engineers, and in some cases producing alternate networks
that are just as efficient .
At the near death experience the EEG shows sudden peak efficiency, top-down connectivity, and theta-alpha-gamma
synchrony. Borjigin describes these as “neural correlates of heightened conscious processing at near death.” 
Based on the Constructal Law of Physics I propose
An efficient adaptive brain design that would harness complexity through synchrony and increase individual and
group information flow;
A basis for canonical sickness behavior and its remediation;
The evolution of human technology, as a design in nature, to assist in self-regulation and self-realization
A win-win solution for self and other;
The constructal need for speed and efficiency and flow hierarchy plus the high cost of long distance wiring
suggests that the timing in white matter tracts plays a fundamental role in behavioral evolution and sickness
I will discuss each of these topics in more detail below.
1. The Constructal Law of Physics and the efficient adaptive brain can be realized by a system that employs
global broad band synchronization (GBBS) over small world networks (SWNs) operating near Self-Organized
A. Global broad-band synchronization (GBBS) is a hallmark of consciousness that has been poorly
recognized in the EEG due to common mode rejection. 
B. Small world networks (SWN) combine efficiency and resiliency, and exhibit synchrony, memory and
adaptability. Embedded SWNs enable the brain to be “optimized for the coexistence of local and global
computations: feature detection and feature integration or binding.” 
C. Self-organized criticality (SOC) is key to regulating function. ”…three functional properties of the cortex are
optimized at criticality: 1) dynamic range, 2) information transmission, and 3) information capacity.” 
2. The Constructal Law of Physics suggests that failure to evolve in efficiency and flow leads to terminal dissipation.
This is seen in the EEG as sickness behavior (SBeh) and in the dissipations and dysmaturations described by Gerald
Ulrich . It may be seen in the white matter tracts as decreased functional anisotropy.  I call this largely
epigenetically and psychosocially controlled final pathway of chronic disease ‘apoptosis of the self.’ The remediation of
sickness behavior is fundamentally the re-establishment of constructal adaptive maturation of flow. As described
elsewhere in these pages such remediation fundamentally requires neuroplasticity, network support and novelty
3. As described earlier  slime molds may have persisted so many thousands of years because they adaptively
evolve networks to increase access to the currents (raw materials, energy, information) that flow through them.
Technical designs do not imitate nature - they are part of nature. The constructal law of physics suggests that humans
will evolve technical designs that allow optimizing the efficiency and flow of information just as they have for the
efficient flow of raw goods, products and energy. This ‘second order cybernetics’ would allow technically assisted
regulation and realization of the efficient flow of information and processing. I call this TASR - Technology-Assisted
Self-Regulation / Self-Realization. Biofeedback and movement awareness create more efficient flows of body and
energy. Neurofeedback and especially live complexity training (LCT) for tranquility (efficiency) and insight
(synchronized complexity) can assist in the design of more efficient flows of knowledge.
4. Constructal law says that in order for us, as individuals, to persist in time we must constantly evolve to provide
easier access to the currents that flow through us including matter, energy and thought. All other beings have the
same agenda and constructal needs in order to evolve flow and persist. Increasing one’s flow at the expense of others
may occasionally be necessary but in principle creates maladaptive conflict. The best way to insure our ability to
evolve flow is help enhance the flow access in those around us. This win-win flow adjustment is beneficial to the group
and the individual. The efficient adaptive individual becomes more awake and self-sufficient by working for the welfare
of all (self and other) beings.
 Bejan A, et al (2012) - Design in Nature: How constructal law governs evolution in biology, physics,
technology, and social organization. Anchor Books.
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Issue 5964, pp. 439-442. [Abstract]
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Acad Sci, Aug 14, 2013. [Free Full Text]
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at all frequencies. Clinical Neurophysiology 120, 695-708. [Abstract]
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2007 Jul 5; 1(1):3. [Abstract]
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temperature differences in cells. Sci Rep. Jun 23;5: 11587. [Free Full Text]
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