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Randall Lee Reetz
Works at Self-Evolving Systems Theory
Lived in Santa Cruz, CA
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Randall Lee Reetz

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At the Science end of NASA, some good work is being done.
Vital Signs of the Planet: Global Climate Change and Global Warming. Current news and data streams about global warming and climate change from NASA.
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Wow, right?
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Plus, notice what we've evolved to in the last 50 years... Ted3.
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Local predictions are locally advantagous. But there will always be variety and the completion that variety assures... and the competition in evolution is ALWAYS competition over prediction RANGE.

Entities who can predict further into the future are (ultimately) the entities with the greater advantage and will out influence other entities with more restrictive predictions.

But prediction is an active process, it isn't just prognostication, it requires one formulate an actionable and shortest path solution from any and all here's to any predicted there.

Ultimately, evolution isn't about entities at all, but about the full system, the universe, solving the shortest path problem for its entirety... through local entities.

A universe can only fall down. Heat death is the only possible end state. A universe gets better and better at iteratively solving for the shortest path computation leading to heat death. That n-hard shortest path computational problem is what we call "evolution".

Evolution, intelligence, prediction, shortest path dissipation... all the same thing.
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What, ultimately, does anything in this universe compete for? 
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A bit obvious but good to review.
Traffic lights, neon-lit advertisements, a jungle of road signs: when learning to drive, it is often very difficult to distinguish between important and irrelevant information. How the brain learns the importance of certain images over others is being investigated by researchers. They show that learning the relevance of images considerably modifies neuronal networks in the brain. These changes might help our brain to process and classify the over...
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The brain isn't a tape storage system. It's a grid, a graph, an ontological web. The difference? If a conducting wire is damaged, the damaged section can be replaced without appreciable change in the functionality of the system it is a part of. Now think instead of a damaged section of a DNA strand. If it isn't replaced by the exact sequence that was damaged, the system will not function as before. Notice, that I didn't use a page in a book as example, as a book is linear, we might not much notice that a page is missing. Though DNA is physically linear, the info stored on it is non-linear as it is the result of billions of years of evolution optimized compression... any base pair is likely to cause or react to info on other sections of its length. The older a sequence, the more likely it controls or modifies a large number of other protein cascades. DNA is a linear strand that encodes a compressed network. The dendritic network graph that is the neuronal web that we call "brain" is more obviously a network. If a part of it is damaged, there is no obvious way to rewire it as it was before. Introducing new neurons is no more likely to reform it's previous network, than pouring ink and paper pulp into an insect damaged book's holes.
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You will notice that the only perfect system is a singularity. Perfect because it is not in any way effected by the second law. Perfectly boring. Holds no information. But is not as a result capible of decay or its more interesting precipitate, evolution. As you add dimensions, you get exponential growth in the capacity to decay, and to hold information, and for change. So what is the upper limit on dimensionality? In this universe, we can only define such a limit as an event horizon. As a boundary defined as a sphere, the surface area of which is a measure of Planck space quanta. The unfortunate consequence of the perfect compression represented in an event horizon is that no computation is possible. So if we back up to some sweet spot of computability, we'll find out selves somewhere between the singularity and the Planck space event horizon... Somewhere not unlike like the ontological structure of a brain. Are there other such topological examples filling out the class of computably optimized ontologies? 
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Randall Lee Reetz

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A little lesson on what a scientist is:

A scientist is a person (entity) that wants to understand what the universe is and how it works DESPITE WHAT THAT KNOWLEDGE MAY SAY ABOUT THE FUTURE OF THE SCIENTIST.
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What if the US were to partner with Greece? 
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This makes it official, the dems are going to win.
Palin joined the network as an analyst in June 2013
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The more often this lady's face pops up during presidential primaries, the more likely the republicans will loose.
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In which an NPR correspondent interviews a sports writer who compares playing 40 minutes of basketball once every 2 or 3 days in the NBA finals to riding 5 hours (130 miles) per day for 21 days in the Tour de France bicycle race... oh please:

http://www.npr.org/2015/06/16/414985733/to-keep-going-during-the-finals-lebron-james-cant-take-a-day-off

The following is a report of the demands on a cyclist riding the Tour de France:

 http://education.polarusa.com/consumer/powerkit/Article2.asp

List of riders who have died in Tour de France races:

https://en.m.wikipedia.org/wiki/List_of_professional_cyclists_who_died_during_a_race
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Irony intended? I guess when you spend trillions on a big can in low orbit, all priorities are messed up beyond recognition anyway. Might as well laugh at it.

http://www.ibtimes.com/nasa-offers-sharpest-video-yet-astronauts-eating-space-cheeseburgers-international-1968964
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Have him in circles
1,181 people
Frank Gerards's profile photo
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Jeff Graham's profile photo
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Work
Occupation
Consulting at the intersection of computation, self evolving systems, decentralized node based computing, artificial intelligence,
Skills
Rapid Software Prototyping, Interface and Interaction Design, Information Access and Navigation Environments, Universal Simulation Environments,Thermodynamics-based Evolution Theory, Self-Evolving Intelligence
Employment
  • Self-Evolving Systems Theory
    Artificial Intelligence, present
  • Consultant
    Rapid Software Prototyping, present
Basic Information
Gender
Male
Story
Tagline
What matters is what matters, knowing what matters matters the most.
Introduction
RULES OF ENGAGEMENT
I block all Google+'ers who don't share a full profile (including a comprehensive "Introduction" section), a full legal name, a recent and accurate photo, a means of direct communication, or who use this forum for purposes other than honest and serious discussions of real issues. I also block people who rarely or never post their own original thoughts in their own words.

PASSIONS AND MOTIVATIONS
Darwin did a fair job defining the HOW of evolution – within the domain of biology. But the scope of evolution is far larger than the bounds of biology.

I seek a domain independent understanding of evolution. I seek the WHY of evolution. Why does complexity increase in pockets? Complexity is energy and configuration expensive. In a universe that can only get more and more simple, maximal complexity is the fastest path towards the deepest eventuality. Evolution is the process by which the universe iteratively computes the shortest path from all here and now's to the asymptote that is heat death.

The ultimate fate of the universe is set and unavoidable. The only variable is the rate at which it gets there. Configurations that maximize this rate dominate the energy flow within their environment and thus have the greatest influence over the shape of change. You can only maximize energy flow to the extent with which you understand it.  Knowledge and the processing of knowledge is what evolution in any universe will produce.

You can get better and better at knowing how the universe works and why – or you can become food for systems that do. There is no other option.

THE EMPIRICAL CREED
ALL of my theory work is Standard Model Compliant. If a measurement has been taken, I assume that the result MUST be considered valid. Furthermore, ALL theory must agree with ALL measurement and with ALL measurement confirmed theory – period. No exceptions. This is the solemn oath we take before we engage in the scientific process.
Bragging rights
Have worked for 11 companies that have burnt through all of their money within a year and a half.
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Previously
Santa Cruz, CA - Portland, OR - San Francisco, CA - Chicago, IL - San Diego, CA - Los Angeles, CA - Santa Barbara, CA - Woodside, CA - Palo Alto, CA - Placerville, CA - Santa Maria, CA - Auburn, CA - Reno, NV
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Randall Lee Reetz's +1's are the things they like, agree with, or want to recommend.
Evolution as entropy
books.google.com

"By combining recent advances in the physical sciences with some of the novel ideas, techniques, and data of modern biology, this book attem

Funny Jokes and Quotes
plus.google.com

Funny Jokes and Inspiring Quotes :)

Computation Language Information Nature Evolution
plus.google.com

Promoting a scientific exploration of the causal emergence of complexity.

COMPLEXITY METRIC
www.complexitymetric.blogspot.com

COMPLEXITY METRIC. Change increases entropy. The only variable; how fast the Universe falls towards chaos. Determining this rate is the comp

The CLINE Challenge - Computation Language Intelligence Nature and Evol...
www.meetup.com

CLINE was established to encourage and facilitate the scientific exploration of the intersection of computation, language, information, comp

50'000€ Prize for Compressing Human Knowledge
prize.hutter1.net

50'000€ Prize for Compressing Human Knowledge by Marcus Hutter