Intelligence Demystified – The Difference Between Innate And Artificial Intelligent Systems | The Knowledge Dynasty

Intelligence Demystified – The Difference Between Innate And Artificial Intelligent Systems

In most simplistic of terms, intelligence is the ability to make logical connections between representations. A classic intelligence test, such as Cattell, which doesn’t measure the memory systems, i.e. how precise the re-constructed memories are, measures just how well the person who takes the tests is able to make logical connections between images, what logic is behind the mysteriously exceeding numbers or alphabets, and if the person is able to find the correct logical connections in relations with the different given 33 representations, he/she will find himself as having an intelligence of 174. Thus, if you can find the logical connector between the given representations in Cattell’s test, you are a genius. The Cattell also promises that the logical performances of the innate neurological systems are what are to be measured, and that the intelligence test does not require pre-knowledge of any artificial human made logic, such as trigonometry, or calculus, although containing numbers and alphabets.

The artificial logic of simple mathematics as for example calculating 2+2=4 is what the Finnish education system truly taught me when I was in my first grade, instead of only making me memorize numbers, and symbols. After learning to use the artificial logic to connect representations in this manner, I had been passed an artificial logical system to make mathematical logical connections between representations and when I now perceive a + symbol between numbers, in case of as easy equations as 2+2, my sub-conscious brain functions automatically equate them to my consciousness in their complete logical result, 4, thus manifesting intelligence.

Because sub-conscious brain functions, micro-level neurocomputation, dynamics of the sub-consciousness, or sub-consciousness, make your favorite pick, deals with information in the level of units, that are divided into information spatial hierarchy of micro-level entities producing the macro-level entity, and these combined macro-level entities to produce even higher macro-level entities, such as is for example the case in the visual system when environmental data goes through its content generative cycle from V1 (neurons that receive retinal information, mapping the environment) to V5 (visual motion); the macro-level entities we perceive as our environment are produced through the logical connections made by the sub-consciousness. But when one closely examines what the consciousness contains, he/she will find that the macro-level entities come from different neurological cognitive logical systems in parallel to our conscious mind. The sounds have been translated from the environment for example to meaningful sentences, producing thereafter representations that are in parallel with the sounds. At the same time, one perceives the environment as a virtual replication, containing already recognized shapes and objects, colors, their different spatial co-ordinates in relativity with each other, etc. The same parallel information contains also the body orientation, smells, tastes, emotions, and so on, that are all a part of the same macro-level representation we experience as the contents of our consciousness as the self-awareness receiving these parallel descriptive levels of the environment. And as each of the phenomena in the environment that has been translated into a virtual form need micro-level units of information to receive their recognizable form, they must already exist in the brains as neurons. And this now brings the difference between the innate information and innate information systems, and the learned semantic content of it. The human genome is the basis for the formation of the innate information, and the innate information systems, that as natural connectors create the logical connections between representations whether this concerns micro-level units or the macro-level representation produced of them in relativity with the innate logic. And it is self-evident that the from the in relativity with genome constructed brains are designed to cope with the environmental conditions on Earth, when we for example examine the retina, snake detection (Tooby, et. al. 2005), coalition detection (Kurzban, 2001), autonomic nervous system, ect.

We are taught the logic connecting representations with the language, and the language can be considered as a meme. That is, language is a logic, and the laws of the semantics define what are logical connections between representations and what are not. We also use the logic of the learned language to the reconstruction of the representations from the consciousness of another agent in the environment, and the other way around. The other memes involving language are words, but although they might seem objective in their definitive levels, they are not. Every definition given to a word is what the individuals own sub-conscious brain functions have constructed to them, although the originating source is an agent in the environment. The brains are constructive, and memories are re-constructions of the past.

Henry M. Piironen was born in 1982 in Jyvaskyla, Finland, and has studied complex adaptive systems, systems theory, information theory, memetics, cosmology, the human brain neuroanatomy, theories of consciousness, self-organization, co-adaptation, emergence and religions. He experienced scientific enlightenment in 2007, leading to the creation of the model of information reality, which is addressed in his first book, “The Art of Perception: An Introduction to Information Reality” (2008). His current studies are on the information-driven continuums of superorganisms and how information extends the mind. For more discoveries of the information driven world, visit his official website at: http://www.kolumbus.fi/henrympiironen/Home.html

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