Distinctions that are no differences, are incomplete, or are in discord.
In knowledge representation these ‘impurities’ (artificiality) and their influence are made easy to see.
In groks you will see them as obfuscation fields. That means darkening and/or inversion dynamics. The term refers to the visual representation of an obfuscated field, and can also be represented as dark and/or inverted movements of a field or group. I concentrate more on the dark versions here and will consider the inversions (examples of lying) in a future post.
They bring dynamics that are manipulative, artificial, or non-relevant into the knowledge representation. Their dynamic signatures make them stand out out like a sore thumb.
Cymatic images reveal these dynamics too. There are multiple vortexes, each with their own semantic contribution to the overall meaning to a knowledge molecule or group.
Here is an example of a snow flake (seen below) https://www.flickr.com/photos/13084997@N03/12642300973/in/album-72157625678493236/
From Linden Gledhill.
Note that not all vortexes are continuous through the ‘bodies’ of the molecules they participate in. Also, in order to correctly visualize what I’m saying, one must realize that the cymatic images are split expressions. That means to see the relationship, you must add the missing elements which are hinted at by the image.
Every cymatic image is a cut through the dynamics it represents.
We are in effect seeing portions of something whole. Whole parts are dissected necessarily, because the surface of expression is limited to a ‘slice’ through the complete molecule.
(Only the two images marked ‘heurist.com’ are my own! The other images are only meant as approximations to aid in the understanding of my work.)
Apr 28, 2016 | Categories: Big Data, BigData, Holons, Holors, Insight, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Mathematics, Mathesis Generalis, Mathesis Universalis, Metamathematics, Semantics, Wisdom | Tags: insight, knowledge, learning, Logica Universalis, Mathesis Universalis, Philosophia Universalis, understanding, wisdom | Leave a comment
‘Trust’ For Sale
More of Google’s attempt to become the ‘clearing house’ of truthful, ‘trustful’, and important facts and therewith create a ‘truthful tribe’. I thought we wanted to rid ourselves of tribalism?
So many talented people will never be known, because they work ‘under the radar’ or for being ignored (exiled) as ‘heretics’.
Here is a question: how can even truth, not to mention trust, be systematized when we cannot know all of it as well as its many sources of origination?
Google is creating its own demise with this. It will go down or cause a vast migration of awakened (and non-evangelists) to move to, create, or participate in other search engines.
True research must make it’s own decisions upon what is truthful, trustworthy, and valuable. If we allow a corporation to manage these values, we will enter an age of ‘privatized credibility’.
They will be able to keep people out of the debate (social discourse) by making them non-authoritative. If they can establish metrics then everyone must conform to them.
It’s like believing Marx, Engels, and Lenin were philosophers when they were really children playing with snake-oil in order to sell the idea that a tyranny of Communism was the solution to humanity’s problems.
Jan 15, 2016 | Categories: Authoritarianism, BigData, Cultural Marxism, Humanity, Language, Learning, Linguistics, Mathesis Universalis, Social Marxism, Sovereignty - The Right to Own Yourself, Technology run amok, Understanding, Wisdom | Tags: Authoritarianism, Cultural Marxism, fraud, Humanity, insight, KBT, knowledge based trust, learning, Search, Semantics, social engineering, technology, Technology Run Amok, Totalitarianism, Trust, Truth, Tyranny, understanding, wisdom | 1 Comment
A typical knowledge acquisition node showing two layers of abstraction. Note how some of the acquisition field detection moves with the observer’s perspective. You can tell, due to the varying visual aspects of the fields and their conjunctions that it has already been primed and in use.
This node may be one of thousands/millions/billions which form when acquiring the semantics of any particular signal set.
Their purpose is to encode a waveform of meaning.
Basically it is these ‘guys’ which do the work of ‘digesting’ the knowledge contained within any given signal; sort of like what enzymes do in our cells.
The size, colour (although not here represented), orientation, quantity, sequence, and other attributes of the constituent field representations all contribute to a unique representation of those semantics the given node has encountered along its travel through any particular set of signal. The knowledge representation (not seen here) is comprised of the results of what these nodes do.
This node represents a unique cumulative ‘imprint’ or signature derived from the group of knowledge molecules it has processed during its life time in the collation similar to what a checksum does in a more or less primitive fashion for numerical values in IT applications.
I have randomized/obfuscated a bit here (in a few different ways), as usual, so that I can protect my work and release it in a prescribed and measured way over time.
In April I will be entering the 7th year of working on this phase of my work. I didn’t intentionally plan it this way, but the number 7 does seem to be a ‘number of completion’ for me as well.
The shape of the model was not intended in itself. It ‘acquired’ this shape during the course of its work. It could have just as well been of a different type (which I’m going to show here soon).
Important is the ‘complementarity’ of the two shapes as they are capable of encoding differing levels of abstraction. The inner model is more influenced by the observer than the outer one, for example. The outer shape contains a sort of ‘summary’ of what the inner shape has processed.
Jan 4, 2016 | Categories: Big Data, BigData, Consciousness, Fields, Holons, Holors, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Mathesis Universalis, Semantics, Wisdom | Tags: insight, knowledge, learning, Mathesis Universalis, Metaphysics, understanding, wisdom | Leave a comment
3D Scientific Visualization with Blender
It’s a book everyone in knowledge representation should at least know about. It has great tips and clarifications inside.
Unfortunately it is also based solely on ontologies so it provides only limited value for what I’m doing, but it is a valuable resource for understanding and creating visualizations just the same.
May 26, 2015 | Categories: Big Data, BigData, Knowledge, Knowledge Representation, Long Data | Tags: Awareness, BigData, Cognition, Internet of Things, IoT, knowledge, Knowledge Representation, KnowledgeRepresentation, learning, LongData, wisdom | Leave a comment
Universal Constants, Variations and Identities
#13 Knowledge is what awareness does. (Knowledge)
I’ve published this before elsewhere, but it must be restated now for what is to follow (I’m starting a new octave).
#Knowledge #Wisdom #Understanding #Learning #Insight #Constants #Variances #Metaphysics #Philosophy #MathesisUniversalis #ScientiaUniversalis #PhilosophiaUniversalis #LogicaUniversalis #MetaMathematics #MetaLogic #MetaScience #MetaPhysics #MetaPhilosophy #Awareness
Feb 3, 2015 | Categories: Big Data, BigData, Identities, Knowledge, Knowledge Representation, Learning, Logic, Mathematics, Mathesis Universalis, Metamathematics, Metaphysics, Philosophy, Science, Understanding, Wisdom | Tags: Awareness, Constants, Identities, insight, knowledge, learning, Logica Universalis, Mathesis Universalis, Metalogic, Metamathematics, MetaPhilosophy, Metaphysics, Metascience, Philosophia Universalis, Philosophy, Scientia Universalis, understanding, Universal Constants, Variances, wisdom | Leave a comment
Video is finally here!
Sep 3, 2014 | Categories: Artificial Intelligence, BigData, Holons, Holors, Insight, Knowledge, Knowledge Representation, Language, Learning, Linguistics, Logic, Mathematics, Mathesis Universalis, Metaphysics, Philosophy, Semantics, Understanding, Wisdom | Tags: ArtificialIntelligence, insight, knowledge, Language, learning, Linguistics, OrganicIntelligence, Philosopohy, Semantics, understanding, wisdom | Leave a comment
This propaganda piece is easy to decode. Let’s play like we’re redundant.
We will never make humans redundant. Even if those who run and control our society want it that way! Creativity cannot be replaced and, although this video mentions it, it’s only ‘intelligence’ masking it.
I’m thinking of the film WALL-E. The humans were redundant and left the Earth on some pointless trip and left intelligent robots on the Earth to clean up their garbage.
The analogy of the horse fails (among other analogies in the film) when one realizes that horses were only assigned the purposes that we imagined for them. (Not to mention for ourselves!)
The film is social engineering propaganda designed to drive hopelessness into the viewer. It’s more of this arrogant in your face ‘Get used to it, like it or not’ weaponized culture (‘bitch culture’) they sell to us.
Just because our corporations are leading us to a place where automation takes our jobs away they have not and cannot take our usefulness in creativity away. They are describing more about their failure than their victory. They describe a culture and social fabric that they created, not WE!
The whole of humanity, and all of its potential (which they have failed to find access to) is not even being considered in this artificial world they are creating!
There are many other subtle mind manipulations going on in this piece, but I’d like to leave that open for future discussion.
Aug 14, 2014 | Categories: Artificial Intelligence, BigData, Fear and Control Paradigm, Humanity, Insight, Knowledge, Learning, Philosophy, Social Engineering | Tags: knowledge, Propaganda, social engineering | Leave a comment
This knowledge representation, which I made for a presentation in Nürnberg on April 29th, 2013, depicts a partial resonance domain with respect to sentient relation and orientation. The representation is not designed to be comprehensive in any respect, rather it is intended to help those who are not accustomed to viewing knowledge in this way.
It shows how, to quote Carl Sagan: “One voice in the Cosmic fugue.” can be represented more generally. There are certainly other possibilities with respect to relation and orientation between self and other.
You may need to stop this video occasionally as some of the transitions occur very quickly.I’ve indicated what is happening in the representation to aid in the interpretation of what is being shown.
I would appreciate any feedback you may want to give. I’d be pleased to answer any questions that may arise.
Thank you for watching!
A question has come in from an anonymous source asking for clarification on the use of “Resonance Domain”.
A resonance domain is comprised of resonance fields. When one or more fields are being examined, the group is called a domain.
For further clarity I’d like to add that we are looking at two separate fields (sentient beings) in terms of the relation they participate in and the orientation they share with each other.
Fields are always composed of other sub-fields and contain even partial fields from other sources!
UPDATE: “Why do you use the word ‘sentient’ in your description?”
There are basically three types of entities in our universe:
1) Having some measure of interiority (concept of self).
‘Self and other’ can come in any number of combinations:
The knowledge representation above requires that at least two of the participants are of type 1 (sentience) for this knowledge representation to hold.
Type 1) human and type 1) dog will work.
Type 1) human and type 2) book will not work.
Type 1) human and type 3) rock will not work.
This way of looking at our Kosmos (multiverse) is called Mathesis Universalis.
For those interested in more on the subject, go to http://mathesis-universalis.com.
[PS: There are also the conditions that both participants are conscious of each other and that their shared consciousness is such that differences in semantics between them are ‘reconcilable’ (coherence). (for the scientists/mathematicians among us!)] 😉
Jul 29, 2014 | Categories: Artificial Intelligence, BigData, Ethics, Holons, Holors, Knowledge Representation, Language, Linguistics, Mathematics, Mathesis Universalis, Metaphysics, Philosophy, Semantics | Tags: BigData, Holons, Holors, Knowledge Representation, organic intelligence, Semantics | Leave a comment