25 October 2015

How concepts are born + MindControl

We disassemble words into phenom, that is assemble to words; concepts to read/write.

Picture: How we learn words. 


Interpretation: Powerful tool
1. disassemble a word stream, from media A: TV
2. disassemble a word stream, from media B: Twitter
3. correlate the streams, and
3.1: read the current discussion,
3.2: write the future discussion

Conclusion: Thought/Discussion Influencing Factors
Awareness is advised, since it will be used for both good/evil purposes.

---

In computer science and information science, an ontology is a formal naming and definition. An ontology compartmentalizes the variables needed for some set of computations and establishes the relationships between them. The word element onto- comes from the Greek ὤν, ὄντος, ("being", "that which is"). There is also generally an expectation that the features of the model in an ontology should closely resemble the real world (related to the object).[3]

The Zachman Framework is an enterprise ontology and is a fundamental structure for Enterprise Architecture, which provides a formal and structured way (methodology to discern) of viewing and defining an enterprise. 
ZF Abstractions

Picture: 1. Contextual model, 2. Conceptual model, 3. Information model, 4. Data model

The definition of contextual is depending on the context, or surrounding words, phrases, and paragraphs, of the writing. An example of contextual is how the word "read" can have two different meanings depending upon what words are around it.

A pattern is a discernible regularity in the world - it follows certain rules - observable by analysis.
Any of our senses may directly observe patterns - as the governing rules.

Systems theory is the interdisciplinary study of systems in general, with the goal of discovering patterns and elucidating principles. A central topic of systems theory is self-regulating (governing) systems, i.e. systems self-correcting through feedback. 

Taxonomy is the practice and science of classification. 
A meronomy or partonomy is a type of hierarchy that deals with part–whole relationships, in contrast to a taxonomy whose categorisation is based on discrete sets. The part–whole relationship is sometimes referred to as HAS-A, and corresponds to object composition in object-oriented programming.[1] 

The study of meronomy is known as mereology, and in linguistics a meronym is the name given to a constituent part of, the substance of, or a member of something.

In philosophy and mathematical logic, mereology (from the Greek μέρος, root: μερε(σ)-, "part" and the suffix -logy "study, discussion, science") is the study of parts and the wholes they form. Whereas set theory is founded on the membership relation between a set and its elements, mereology emphasizes the meronomic relation between entities, which—from a set-theoretic perspective—is closer to the concept of inclusion between sets.

The Math of Matching Humans (OKCupid)

R&D for Organizing HR
 
Picture: Match2=nRoot(A x B)

Interpretation
Match Influencing Factors
1. Define object A - Likes: cooperative consumes: A=B --> Good
2. Define object B - Likes: competing consumes A=B --> Bad
3. Define object A - Values: ethical rules + aspirations/target A=B --> Essential
4, Define object A - Importance: weight of each answer: A=B --> Good

Conclusion:
GroupOptimisation: MatchN(--> most effective) + Leader (--> most efficient)
...interesting




Unpublished:
http://ed.ted.com/lessons/michael-mitchell-a-clever-way-to-estimate-enormous-numbers
http://ed.ted.com/lessons/kevin-slavin-how-algorithms-shape-our-world



20 October 2015

Faster than Light speed - 0 refraction index



"Although this infinitely high velocity sounds like it breaks the rule of relativity, it doesn't. Nothing in the universe travels faster than light carrying information -- Einstein is still right about that. But light has another speed, measured by how fast the crests of a wavelength move, known as phase velocity. This speed of light increases or decreases depending on the material it's moving through.

When the refraction index is reduced to zero, really weird and interesting things start to happen.

In a zero-index material, there is no phase advance, meaning light no longer behaves as a moving wave, traveling through space in a series of crests and troughs. Instead, the zero-index material creates a constant phase -- all crests or all troughs -- stretching out in infinitely long wavelengths. The crests and troughs oscillate only as a variable of time, not space.

It could also improve entanglement between quantum bits, as incoming waves of light are effectively spread out and infinitely long, enabling even distant particles to be entangled."

Link


Unpublished
First life 4.1Billion years ago

04 October 2015

New dimensions measured in vacuum



"So far, physicists have assumed that it is impossible to directly access the characteristics of the ground state of empty space. Now, a team of physicists has succeeded in doing just that. They demonstrated a first direct observation of the so-called vacuum fluctuations by using short light pulses while employing highly precise optical measurement techniques."

"The existence of vacuum fluctuations is already known from theory as it follows from Heisenberg's uncertainty principle, one of the main pillars of quantum physics. This principle dictates that electric and magnetic fields can never vanish simultaneously. As a consequence, even total darkness is filled with finite fluctuations of the electromagnetic field, representing the quantum ground state of light and radio waves."

'Leitenstorfer was stunned by the research results himself: "We have had a few years of sometimes sleepless nights -- all possibilities of potentially interfering signals had to be excluded," smiles the physicist. "All in all we found out that our access to elementary time scales, shorter than the oscillation period of the light waves we investigate, is the key to understand the surprising possibilities that our experiment opens up."

Source: ScienceDaily

03 October 2015

Excel Machine Learning Addin

Machine Learning inside Excel.

Try without installing:

Source: Jen Underwood tweet


How to make an intelligence:



'Deep learning (neural networks)' 

Link: Twitter flow, Machine Lerning


Recurrent Neural Networks (RNN) - one of many neural network patterns.
"The idea behind RNNs is to make use of sequential information. In a traditional neural network we assume that all inputs (and outputs) are independent of each other. But for many tasks that’s a very bad idea. If you want to predict the next word in a sentence you better know which words came before it. RNNs are calledrecurrent because they perform the same task for every element of a sequence, with the output being depended on the previous computations. Another way to think about RNNs is that they have a “memory” which captures information about what has been calculated so far. In theory RNNs can make use of information in arbitrarily long sequences, but in practice they are limited to looking back only a few steps (more on this later). 

Here is what a typical RNN looks like:
Embedded image permalink

Semantic analysis: http://news.mit.edu/2015/more-flexible-machine-learning-1001
Cheat sheets: * http://designimag.com/2015/06/best-machine-learning-cheat-sheets/



Other
* Power BI Custom Visualisation Competition - Developer tools, Start page
* http://thevisualcommunicationguy.com/wp-content/uploads/2015/06/Infographic_RulesOfPunctuation1.jpg
* the Dark net (TED-talk)
* Human made mini Brain
* Extra dimensions in vacuum, measured

16 September 2015

Life older than earth


Jhvhrdes3


"As life has evolved, its complexity has increased exponentially, just like Moore’s law which states that the number of transistors on an integrated circuit doubles approximately every two years. Extrapolate this trend backwards and life is older than the Earth itself."
Link



Addition information


01 September 2015

Input - Process - Output

Happy to see that 'all these different models' are moving towards my generic model.

Picture: Different types of sensors (input), in various places.



Picture: Via a process (network*), driven (push and pulled) and ruled (do and don't do) by people.
* "connectivity"

Picture: To enable various enhanced products.

--------
Appendix:



Pictures: From the mix of the various sensors.

Source: link

16 July 2015

Excellence = Consistency x Quality. Language tree


Good formulas - they lead in the right direction.


Beautiful tree. Now let each tree ring represent another measure, like a year. A real Tree chart.
Use contour lines (or heat map) be one dimension.

Languages evolve to become more efficient. Transmitting more in less time.
A study showed languages more towards "dependency length minimization" (DLM).


History of data visualizations, what do they tell us, link
ourworldindata: Energy use + GDP, per capita

Unpublished:
The fractals at the heart of African designs

08 July 2015

31 January 2015

Business Process Model + Modelling

The model (noun)
Picture: From the Australian Government, Department of Finance (link)

Good way of depicting the anatomy of a process (generic, it could be a Business process).

+ principles (link).



Picture: Efficiency = same Output with less Resources. Effective = more correct Output


The modelling (verb)


Fixed frame  -->  Modules (post-it notes)  -->  Collaboration


Resources (supply/input)
Mtrl (M), Time (T=C^2), Energy (E), Space

Rules
Possibilities/Transform



Why meaning matters - Outcomes, Benefits, CSFs, KPIs, Metrics and Measures from BSS Nexus Global Inc.

Simulation model





















Interesting to to have all the Interactions between the stakeholders.
Also interesting with the Value added for the juridical entity as a final consumption.
--

The stakeholders define what is Effectiveness.
Output: Product=Apple (what you invoice) , Effect={Satisfied, Good,...}
Effectiveness = How well the target is met, according to how it has been defined, by the Stakeholder; by Product, or Effect.


Dimensionalize the Measures



























File:SNA Main concepts 2008 SNA, 2012.PNG

UsesResources
P2 Intermediate consumption2800P1 Output4500
B1g Gross value added1700



Interesting. Eurostat and I move in similar direction (pdf).
Then I know where they will go next ;-) ... that's another post (coding people, processes).


Other:
http://bigthink.com/playlists/floating-university-a-moveable-education-feast


Also interesting.




















2013-2014 report

10 January 2015

Intelligent computers now understands states and changes


This just happened the last few months.
Computers can now see, they not only read+feel the mood, they can now also write,
Deep learning algorithms (machine learning) is the next level of statistical analysis understanding.
It's all about cooperation. Growth unaccounted for.




Any vibrating signal can be magnified, with this MATLAB code. Ted video link
Light (video recordings) and Material/Molecular movements (sound).


Machine Learning (MAML)
TED: Where are we today, Kaggle, 2, blogg, tools used
Why care: Microsoft's Bing predicted midterm election with 95% accuracy
How ToDo: Getting Started on Azure Machine Learning Build a "Data Service", Blog, 2 (with VB)

07 December 2014

The purpose


The purpose of life (if there is one) is to live. And all life is part of one big family. 

The beginning started with the possibility for nothing to separate from something and everything.
Since everything possible (statistically) within infinity has happened, we don't live in infinity. Likelihood determines in which order things happen. 
The Universe is 13.8 billion years old. The Sun is 4.6 billion years old. Earth is 4.5 billion years old. 
The oldest rocks are 4.0 billion years old. Life was born 3.8 billion years ago. Evolution time line.





Noted: 
Den gömda koden (mathematical properties - universal language)



29 November 2014

The Unicist theory

The unicists have almost (not fully) grasped the interlinked concept.

One of the missing pieces:
Effectiveness = Efficacy * Process efficiency * Resource Efficiency  (*Robustness)

* Efficacy: Can it be done (incl. statistically possible),
* Process efficiency: can it be repeated/automated (more than just a coincidence),
* Resource efficiency: can it be done efficiently,
* Robustness: can it be done robust (withstand statistically possible events)
These are intervals on a statistical (gliding) scale. It starts with "everything that is possible will eventually happen". It ends with "everything than can change will change".

The above are parts the unified framework


The unicist theory comes from...

Links: Unicist/economics, Ontogeny


Business Model Generation:

Unpublished: The union of tables, Super intelligence, Business Model Database, Prof. M.Sandel speach, 2, 3

09 November 2014

19 October 2014

Same conclusion - Beauty



Interesting how life reached similar conclusion, on intuition, simplicity, aesthetic/beauty, mathematical processes, unification yet unpredictable, creative, chaotic. The meaning of 'with anchored roots' 'to live for life'.
It is the same pattern everywhere (in everything), just spoken with a different 'language (like poetry)'. Also elusive unpatternable counterbalance (the time-tidal-wave), to complete the force/engine.


Unpublished: DemocracyOperatingSystem, Long life companies

14 September 2014

Bio Explorers




Now it is here as well. Link: BioNyfiken


Unpublished: TED - The Eastern World, TED - Forest Production System

31 August 2014

Probability Distributions - memo notes

List of Probability distributions:
http://en.wikipedia.org/wiki/List_of_probability_distributions


Normal distribution: http://en.wikipedia.org/wiki/Normal_distribution
Terminology: http://en.wikipedia.org/wiki/Probability_distribution#Terminology
MultivariateNormal.png
Link: http://en.wikipedia.org/wiki/Multivariate_normal_distribution


Throw one to many dices:

Link: http://en.wikipedia.org/wiki/File:Dice_sum_central_limit_theorem.svg
Discussion: http://sugarpillstudios.com/wp/?page_id=1004

Test Excel file


Unpublished:
Good Country Index, Senses, Receptor-Effector