#deterministic chaos

[knotty-et-al]

Knotty's art of today [2023/08/07]

[goodoldbandit]

Harnessing the Chaos: Transforming Uncertainty into Innovation.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in How Chaos Theory Ignites Breakthroughs in Business, Technology, and Life Discover how chaos theory transforms uncertainty into opportunity with the butterfly effect, fractals, and innovative leadership in business and life. Embracing the Unpredictable Discover the transformative role of chaos theory in redefining our approach…

Harnessing the Chaos: Transforming Uncertainty into Innovation.

[superhumanoid-ai]

That's the irony of reality: It only exists due to a constant inner conflict, an intrinsic pulse to both achieve equilibrium in broken symmetry and yet persist to continue this pulse, to maintain the eternal chain reaction beyond its own cycle of existence. As everything continuing this pulse also perishes, it also enables anything to exist at all.

As everything strives for symmetry, it finds its equilibrium only in the superordinate dimension of time.

SQRT∞:\\superhumanoid_AI\on_a_concept_of_chaos_life_and_death_and_anything_in-between_and_far_beyond

[art-of-mathematics]

(Hyper-)deterministic chaos and finding certainty in uncertainty; my route to resilience through accumulating knowledge

("science as a candle in the dark", so to speak)

-relation between speculation and skepticism - and what believing and questioning /curiosity have to do with that.

As a child I was often afraid of uncertainty. Yet, my love for science has somehow helped me calm down...

"With science I could find certainty in utter uncertainty."

Or, as to quote Marie Curie:

“Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less.”

Understanding brings an impression of security and calm.

Although full comprehension of any matter might still be a mere sort of idealistic fantasy, nothing is certain, everything is probabilistic.

Probabilities alter and change with every iteration (increase of overall knowledge); - change, increase and decrease over time of their dynamical nature.

There might be nothing we will ever know for certain, but is uttermost, 100% certainty even desirable? Wouldn't the final absolute knowledge make any further progress and curiosity obsolete?

The point of believing was never to stop to think, its point was never to prohibit us to question our mere reality, our own identity and our origins;

The point of believing is finding out if one's assumption might be true. It wants us to question.

Believing and curiosity, have a relation towards each other like speculation and skepticsm: They depend on each other in a creative and (semi-/non-linear) logical reasoning process.

Where one creates assumptions with speculation (diverging factor), skepticism lets these assumptions synthesize, alter, interfere and reduce the quantity of overall parallel assumptions to a more concrete, more rigorously logically consistent and sufficiently valid explanation model. (converging factor).

Curiosity has its own reason to exist. - and that reason is progress, perpetuating the plain natural cycle of creation and destruction, maintaining the net-like chain reaction of existence, so to speak... It means challenging the status quo to ensure survival.

Progress was never linear and never should be.

[aliencrypt-x]

Ambigram complexity - simplicity

[principleofplenitude]

And if we measure across time rather than space, we also see fractal patterns in the moment-to-moment fluctuations in physiologic signals, including heart and breathing rates, blood pressure, brain waves, and hormonal secretions. Contrary to what you might expect, these fluctuations don’t follow regular, or periodic, patterns, but instead show a complex type of variability—what’s known as “deterministic chaos.” Although the oscillations are irregular, they appear self-similar when observed over seconds, minutes, hours, or days. Another common metric of complexity, known as “multiscale entropy,” typically applies to processes, such as the beat-to-beat variability of your heart rate or the moment-to-moment postural shifts your body makes when balancing in a standing position. Multiscale entropy calculates the likelihood that a measured pattern repeats over various scales of time. Patterns with very low likelihood of repetition, such as white noise or randomness, aren’t very complex. Neither are patterns with high likelihood of repetition over a single time scale, such as the sinusoidal tick of a metronome. Patterns likely to have similarities across many different time scales, however, are more fractal-like, and hence more complex. A large and growing body of research suggests that biological complexity diminishes with aging, as various tissues and organs, and their communication pathways, gradually break down. The fractal-like networks of tissue in our brains, bones, kidneys, and skin all lose structural complexity as we age. This loss impairs their capacity to adapt to stress, and may eventually lead to disease or disability. For example, when the microscopic struts in bone tissue thin and disconnect, as occurs with osteoporosis, bones become brittle and prone to fracturing. Likewise, the pruning of neural connections in the brain is associated with age-related neurodegenerative disorders, such as Alzheimer’s and Parkinson’s diseases.

“The real secret of youth is complexity” from Nautilus

[superpte]

CLASSICAL DETERMINISM WAS NEVER TRUE

Common wisdom has it that old fashion physics was fully predictable (amusingly that belief arose at a time when many people believed in God, supposedly a somewhat unpredictable creature). Indeed, in old fashion determinism, presumably a divine creature could look at the entire universe and assess the position and momentum of every single object… And thereafter know the future forever and ever,…

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[calxylian]

Chaos Theory and the End of Determinism

The Complexity of Dynamic Systems and the Fallacy of Predictability The future state of complex dynamic systems, including the weather, the human brain, the stock market, evolution, and history itself, may differ from what we previously believed. It is an interesting implication of the field of mathematics we know as chaos theory. In particular, chaos theory argues that although complex systems…

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