Study materials and a slide show for ∞OS activation session in Berlin, 23 & 24 March 2019

1. ∞OS
ACTIVATION SESSION, BERLIN, 23-24 MARCH 2019
“THE DYNAMICS OF NON EQUILIBRIUM STABILITY”

2. ∞OS is a body~mind operating system.
At its core is the practice of ecological interaction
— in relation to oneself, to the people around,
and to the environment.

3. How can we develop, test and exchange various
patterns of behaviour using physical experience?
ideology = attitude

4. 1. ECOLOGICAL
INTERACTION

6. A certain idea of dynamic connectedness.The
distinct interacting parts that affect one another
and the totality they comprise.
(and, in turn, get affected by that totality)

7. e.g.
The first law of thermodynamics: heat energy cannot be
created or destroyed — it is transferred from one location to
another and is converted to and from other forms of energy.

8. hierarchies feedback loops

9. 2. CONFLUENCE

10. Confluence — the ability of the different*
flows to merge.
* different velocity, viscosity, density, surface tension etc.

11. Image: mixing the oceans, source: Quora

12. Image: Inhaler Computational Fluid Dynamics (CFD) simulation, source:Team Consulting

13. ∞OS is a study of fluid inter~action
* air and gases are also fluids with low density

14. How to move in a fluid medium?
How to move like a fluid medium?

15. A cell becoming an organism. Source:Aeon

16. Cross-Contextual Confluence

17. 3.WAVES, OSCILLATIONS

18. A wave is a transfer of energy in a medium.
* this happens through oscillations or vibrations

19. A simple sine wave traveling in time / space

20. At the core of every wave (transfer of energy) is
a tension and release.

21. Sound waves are the propagations of air density / pressure change in space.The air is the medium.

22. Sea waves propagate through the water, as a result of the tension between the wind and the water,
storms, underwater disturbances and the gravitational pull (tides)

23. Animation of a half-wave dipole antenna radiating radio waves, showing the electric field lines
propagating through the electro-magnetic field medium, Source:Wikipedia

24. Human blood circulatory system. Source

25. Qi meridians in the body. Source: Intuitive Acupuncture

26. Kondratieff’s waves.The medium are the financial return on investment. Source

27. Prey-predator cycles.The medium for the waves is the number of species. Source.

28. In ∞OS we learn how to send the waves,
how to observe them, how to receive them,
and how to ride them.
* on any scale

29. Exercise
Self-Centering
#innerwork #awareness #attention #meditation #vipassana

31. Exercise
Full Breathing
#breathing #meditation #yoga #integrity #completedness

32. Exercise
Rhythmical Movement
#breathing #walking #movement #stability

33. Exercise
Body Fluidity
#noguchitaiso #fluidity #waves #oscillations #relaxation #neutralization

34. Exercise
Body Waves
#noguchitaiso #systema #waves

35. Exercise
Contraction / Expansion
#noguchitaiso #systema #waves #breathing

36. Properties of Fluids
1. Viscosity
2. Density
3. Velocity
4. Surface tension
#aerodynamics #fluids #freestyle #sensitivity #noguchitaiso #systema

38. 4. METASTABILITY

39. systems are “metastable” when they are near their critical states,
the fluctuations in such systems follow 1/f scaling relation
S(f) = 1/f, where S is the spectral power (amplitude), f is the frequency

40. Within a certain timespan / context: the higher is the value of the oscillation (e.g.
an amplitude of movement or scale degree of change), the less frequent it is.
The smaller the change, the more often it happens.
Kello, C.T.,Anderson, G. G., Holden, J. G., &Van Orden, G. C. (2008)

41. Yamada, N. (1995).
Examples of 1/f noise:
electric circuits
the flow of river Nile
luminosity of stars
coastal lines
mountain objects
stock market
human posture oscillations
healthy heart rhythm
mood shifts
Bak, P.,Tang, C., & Wiesenfeld, K. (1987) Katerndahl, D., Ferrer, R., Best, R., & Wang, C.-P. (2007).

42. disequilibrium in the mind = disequilibrium in the body
D’Mello et al 2011
body movement fluctuations of individuals experiencing cognitive
equilibrium was characteristic of correlated pink noise, but there was a
whitening of the signal when participants experienced states that are
diagnostic of cognitive distress such as anxiety, confusion, and frustration

43. compare with non-equilibrium stability:

44. Simple harmonic motion (a mass-spring system or a pendulum). Source:Wikipedia
compare with non-equilibrium stability:

45. mass-spring system
compare with non-equilibrium stability:

46. Metastability: numerous patterns of activity exist as
latent potentials.
= better Adaptability
Kello, C.T.,Anderson, G. G., Holden, J. G., &Van Orden, G. C. (2008)
e.g. a chased animal turning to fight or submission,
multitasking,
balancing on a rope,
prey-predator relations in a changing environment

47. Bystritsky, a, Nierenberg, a a, Feusner, J. D., & Rabinovich, M. (2012).
winnerless competition = maximizing the function
Rabinovich, M. I., Huerta, R.,Varona, P., & Afraimovich,V. S. (2008).

48. How to modulate metastability?

49. When several processes with a varying frequency
occur at once, their rhythms affect each other, but do
not sync, creating a complex trajectory that has a
pattern that repeats in time (fractal 1/f noise).

50. • Big changes rare, small changes frequent
• Several oscillatory processes at once (fluctuations)
• Winnerless Competition (none takes over)
• External influence
• Shifting coordinate systems and perspectives
How to modulate metastability?

51. Chimera states in three dimensions (Maistrenko et al 2015), Kuramoto oscillators

52. Paranyushkin 2012

53. Variability
tension
release
contraction
expansion
fast
slow

54. Exercise
Adaptive Variability /
Copy + Paste
a mix of #1, #2, #3, #4 - walking around and letting each other get
influenced, while being aware of our own rhythms

55. Exercise
Wave Synchronization
#taichi #powerdynamics #systema

56. Exercise
Shifting Weight Interaction
#taichi #powerdynamics #systema

57. Exercise
Pacing/Leading Sync - “KGB”
#systema #balance #powerdynamics #infiltration

58. Exercise
Assimilation in Movement
#systema #balance #powerdynamics #contact

59. Exercise
Leader / Follower Shift
Dynamics + Adaptability
#contemporarydance #powerdynamics #control #infiltration

61. RECAP

62. Confluence
assimilate → redirect
pacing
leading

63. Confluence
escalate → assimilate → redirect
escalate
anchor
control

64. Confluence
evasion

65. Metastability
1/f variability — adaptability
wave — stability
vector — intention

67. 5. RESILIENCE

68. Resilience is the ability to maintain a certain form /
intention, while also being sensitive to the
environment.

69. qualities of robustness
• modularity
• feedback loops (positive and negative)
• redundancy and diversity
• coupling & decoupling
Kitano, H. (2004). Biological robustness. Nature Reviews. Genetics, 5(11), 826–37

70. turbulence
can be fixed with the onset of regular oscillations
or increase the viscosity

71. Exercise
resilience through breathing
#dissipation #breathing #endurance

72. Exercise
slow load endurance
#systema #endurance #time

73. Exercise
modularity exercise
#systema #impact #endurance

74. Exercise
keeping the distance
#systema #noguchitaiso #impulse #medium
in street fights immobility is the main problem (YouTube)

75. Exercise
grab / avoid
#systema

76. Exercise
energy transfer (slow push)
give receive
both relaxed, no
announcements
#systema #noguchitaiso #impulse #medium

77. Exercise
zooming out:
assimilation → redirection
option [a]: “– trigger” __
#systema #balance #powerdynamics #contact

78. Exercise
zooming out:
assimilation → redirection
#systema #balance #powerdynamics #contact

79. Exercise
zooming out:
assimilation → redirection
option [b]: “+ trigger” /_
#systema #balance #powerdynamics #contact

80. Exercise
zooming out:
assimilation → redirection
#systema #balance #powerdynamics #contact

81. Exercise
energy transfer (slow push)
give receive
while moving
#systema #noguchitaiso #impulse #medium

82. robotics (simulation)
for flat terrains, open loop limit cycle systems are the
most efficient (in terms of speed of locomotion)
chaotic controller with sensory feedback
outperforms the other controllers in very difficult
terrains and actually promotes the emergence of short
synchronized movement patterns
(Matey et al 2008)

83. chaos in animal search patterns
(Reynolds et al 2016)
animals often assume scale-free foraging intermittent
search strategy, short deviations are mixed with long-
range changes

84. Exercise
group pushing exercise
#chaos #balance #metastability #systema

85. Exercise
putting everything together
#contemporarydance #taichi #systema #noguchi #yoga #meditation
remember about the 1/f fractal chaos dynamics!

87. 6. NETWORKS

88. A network can be a representation of a process
in time (e.g. a record of interactions)
as well as a
physical infrastructure for informational flow
In any case, the structure of the network
determines the dynamic qualities it will have.

89. The most resilient system is the human brain
perception - activation of different groups of
neurons across the different frequency spectrums
Rabinovich, M. I., & Muezzinoglu, M. K. (2010).Bhowmik, D., & Shanahan, M. (2013).

90. source: Nodus Labs / Complex Networks by Sole &Valverde 2004

91. Source: Connected Brains
Watts, D. J., & Strogatz, S. H. (1998).

92. source: Christos Makropoulos
small-world scale-free random
high entropymedium entropy medium-low entropy

93. What is entropy?

94. Entropy is not a measure of disorder.
The second law of thermodynamics says that
entropy increases over time.A system strives
towards an equilibrium, that is, equal distribution of
energy across all of its elements.
We associate it with disorder, but only because from
our subjective perspective of life total
equilibrium is a stasis, death.

95. What is chaos?

96. Chaos is not disorder or randomness.
In chaos theory chaotic system is the one that is
sensitive to initial conditions, unpredictable in the
short-term, but and may exhibit orderly behavior
over time.
1/f (pink / fractal) noise is the symptom of a chaotic
system. distribution of connections in small-world
(scale free) networks follow the same power law as
the 1/f noise.

97. If life represents a certain order,
time represents entropy,
then chaos may be the product of this dialectic.

98. example from immunology
Kuperman, M., & Abramson, G. (2001)

99. example from immunology
networks with low entropy, high order – do not
propagate
networks with high entropy, random connections -
propagate very quickly but very short-lived
networks with scale-free (1/f) fractal (self-repetitive)
structure, can both propagate and maintain

100. Therefore: the structure of our infrastructure will
determine how oscillatory our system will be.
The more independent oscillations are available, the
more distinct states this system will have
(metastability)

101. Exercise
network formations game
entity and contagion
(follow + get influenced)

102. Exercise
combine push/pull with
leading/following with
assimilation / redirection
establish clusters of physicality / “attitudes” in space

104. 7. MODULATION

105. Schismogenesis is a term coined by an influential
anthropologist Gregory Bateson to describe a process of
deviation from equilibrium in the context of a relationship.
It describes a feedback loop in a relationship.
Bateson, G (1975)
Escalation / Deescalation

106. Bateson, G (1975)
Escalation / Deescalation
complementary symmetrical
opposing behaviours similar behaviours

107. made using Slopes App
Escalation / Deescalation
symmetrical schismogenesis:
+ to + / – to – / exponential acceleration → system collapse / transformation

108. made using Slopes App
Escalation / Deescalation
complementary schismogenesis:
+ to – / – to + / exponential divergence → system collapse / transformation

109. Playing the game will either destroy the system or
bring it towards a new state.
Sometimes change is good,
but what if you don’t want to play the game
or if you want to save the system?

110. More in ∞OS course on Nodus Labs
Escalation / Deescalation
option 1: dynamical modulation

111. More in ∞OS course on Nodus Labs
Escalation / Deescalation
option 1: dynamical modulation
algorithm:
1) determine the type of dynamics
2) symmetric? —reverse
3) complimentary? —overreact or —reverse

112. made using Slopes App
Escalation / Deescalation
symmetrical schismogenesis:
+ to + / – to – / exponential acceleration → system collapse / transformation

113. non-equilibrium stability — kind of like prey-predator relationship
Escalation / Deescalation
option 1a: dynamical modulation
symmetrical schismogenesis / step 1: deescalation

114. made using Slopes App
Escalation / Deescalation
option 1a: dynamical modulation
symmetrical schismogenesis / step 2: redirection

115. made using Slopes App
Escalation / Deescalation
complementary schismogenesis:
+ to – / – to + / exponential divergence → system collapse / transformation

116. non-equilibrium stability — kind of like prey-predator relationship
Escalation / Deescalation
option 1b: dynamical modulation
complimentary schismogenesis / step 1: reversal

117. Escalation / Deescalation
option 1b: dynamical modulation
complimentary schismogenesis / step 2: acceleration

118. the main principle: Pacing and Leading
1. get into the flow
2. engage a loop (spiral)
3. disperse

119. the main principle: Pacing and Leading
you always have to engage in the beginning (pacing),
to understand the system and to then be able to
steer it (leading)
A > R >T principle
Assimilate > Redirect > Transform

120. current tendencies
your actions
your objectives
assimilation redirection

121. Panarchy

122. Exercise
wrestling basics
#systema #deescalation

123. Exercise
escalation / deescalation
wrestling game
#dynamics #confrontation #metastability

124. 8. CONTEXTUAL JUMPS

125. Assimilate > Redirect > Transform
A > R >T principle
Assimilate > Reconfigure > Transcend
becomes

127. 1. “Crazy” response
(schisophrenic reaction)
2. Meta-communication
Double Bind = “Catch 22”
every possible outcome is undesirable
Possible Response:

128. “Laughter is the collapse of mind in impossibility to reason.”
Joseph Chaikin
(an example of dissipative release)

129. Exercise
contact — response
#improvisation #polysingularity #perception
a. pacing/leading
b. “out of context”
c. meta-communication

130. 10. POLYSINGULARITY

131. Exercise
gaze + perception changing
#improvisation #polysingularity #perception

132. Exercise
+ add various variability
patterns
#improvisation #polysingularity #perception

133. #improvisation #polysingularity #perception
tension
relaxed
far away
close contact
fast
slow

134. Exercise
discussion

135. Kello, C.T.,Anderson, G. G., Holden, J. G., &Van Orden, G. C. (2008).The Pervasiveness of 1/f Scaling in Speech Reflects the Metastable Basis of Cognition. Cognitive Science, 32(7), 1217–31
References
Yamada, N. (1995). Posture as a Dynamic Stable State of a Body. Research and Clinical Center for Child Development.
Bak, P.,Tang, C., & Wiesenfeld, K. (1987). Self-organized criticality:An explanation of the 1/ f noise. Physical Review Letters, 59(4), 381–384.
Katerndahl, D., Ferrer, R., Best, R., & Wang, C.-P. (2007). Dynamic patterns in mood among newly diagnosed patients with major
depressive episode or panic disorder and normal controls.
Bystritsky, a, Nierenberg, a a, Feusner, J. D., & Rabinovich, M. (2012). Computational non-linear dynamical psychiatry:A new methodological paradigm for diagnosis and course of illness.
Journal of Psychiatric Research, 46(4), 428–435.
Rabinovich, M. I., Huerta, R.,Varona, P., & Afraimovich,V. S. (2008).Transient cognitive dynamics, metastability, and decision making. PLoS Computational Biology, 4(5), e1000072
Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440–442.
Kitano, H. (2004). Biological robustness. Nature Reviews. Genetics, 5(11), 826–37
Matthey, L., Righetti, L., & Ijspeert,A. J. (2008). Experimental study of limit cycle and chaotic controllers for the locomotion of centipede robots. In 2008 IEEE/RSJ International Conference
on Intelligent Robots and Systems (pp. 1860–1865). Nice: IEEE.
Reynolds,A. M., Bartumeus, F., Kölzsch,A., & van de Koppel, J. (2016). Signatures of chaos in animal search patterns. Scientific Reports, 6, 23492.
Reynolds,A. M., Smith,A. D., Menzel, R., Greggers, U., Reynolds, D. R., & Riley, J. R. (2007). DISPLACED HONEY BEES PERFORM OPTIMAL SCALE-FREE SEARCH FLIGHTS. Ecology,
88(8), 1955–1961
D’Mello, S., Dale, R., & Graesser,A. (2011). Disequilibrium in the mind, disharmony in the body. Cognition & Emotion, 00(00), 1–13. http://doi.org/10.1080/02699931.2011.575767
Bhowmik, D., & Shanahan, M. (2013). Metastability and inter-band frequency modulation in networks of oscillating spiking neuron populations. PloS One, 8(4), e62234
Bhowmik, D., & Shanahan, MRabinovich, M. I., & Muezzinoglu, M. K. (2010). Nonlinear dynamics of the brain: emotion and cognition. PhysicsUspekhi, 53(4), 357–372
Kuperman, M., & Abramson, G. (2001). Small World Effect in an Epidemiological Model. Physical Review Letters, 86(13), 2909–2912. http://doi.org/10.1103/PhysRevLett.86.2909
Bateson, G (1975). Steps to an Ecology of Mind. Routlege
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