Artificial Intelligence And Intuition – The intuitive algorithm

The intuitive algorithm

Thinking could never imitate a computer process.  He said just as much in his book, The Emperor’s New Mind.   Intuition propelled information through many neural regions like a lightning streak.   The mind saw, recognized, interpreted and acted.  At the blink of an eye.  Myriad procedures converted sound, light, touch and smell instantly in to your neural impulses.  A passionate region recognized those impulses as objects and events.  The limbic system, yet another region, interpreted those events to generate emotions.  A fourth region responded to all those feelings with activities.  The mind perceived, identified, assessed and acted.  Intuition got you away from the hot stove in a portion of a second.  Plus it might use a very simple algorithm.   

Is instant holistic evaluation impossible?

The system, using over one hundred billion neurons, processed the information from input to output just half an instant.  All your comprehension has been evaluated.  Walter Freeman, the famous neurobiologist, defined this amazing ability.  “The cognitive guys think that it’s simply extremely hard to keep throwing all you’ve got into the computation each time.  However, that’s precisely what the brain does.  Psychotherapy is all about attracting your whole history to keep on the following measure, the next breath, another moment.”  The mind was holistic.  It evaluated all of its own knowledge to the next activity.  How could so much advice be processed so quickly?  Where could such knowledge be stored? 

Exponential growth of the search path

 Unfortunately, the recognition of subtle patterns introduced formidable problems for computers.  The issue has been an exponential rise of the search path.  The issues in the identification of diseases has been typical.  Normally, many common symptoms have been presented by a multitude of diseases.  By way of example, pain, or fever could possibly be suggested for all diseases.  Each symptom pointed a number of diseases.  The problem was to recognize one blueprint one of many overlapping routines.  When looking for that target disease, the first selected ailment with the earliest presented symptom could lack the second symptom.  This supposed back and forth investigations, which enlarged exponentially because the database of diseases increased in proportion.  That made the process injudiciously long drawn — even years of search, for extensive databases.  Thus, despite their extraordinary rate, rapid pattern-recognition on computers could not be envisioned. 

 But, industry strength pattern recognition was feasible.  IA introduced an algorithm, that can instantly recognize patterns in extended databases.  The relationship of each and every participant of the whole database has been coded for each query.  

Is pain a symptom of the disease?)

Disease1Y, Disease2N, Disease3Y, Disease 4Y, Disease5N, Disease6N, Disease7Y, Disease8N, Disease9N, Disease10N, Disease11Y, Disease12Y, Disease13N, Disease14U, Disease15Y, Disease16N, Disease17Y, Disease18N, Disease19N, Disease20N, Disease21N, Disease22Y, Disease23N, Disease24N, Disease25U, Disease26N, Disease27N, Disease28U, Disease27Y, Disease30N, Disease31U, Disease32Y, Disease33Y, Disease34U, Disease35N, Disease36U, Disease37Y, Disease38Y, Disease39U, Disease40Y, Disease41Y, Disease42U, Disease43N, Disease44U, Disease45Y, Disease46N, Disease47N, Disease48Y, 

(Y = Yes: N = No: U = Uncertain)

 The key was to use elimination to appraise the database, not selection.  Every participant of this database was individually coded for elimination in the circumstance of each response.

(Is pain a symptom of the disease? Answer: YES)

Disease1Y, xxxxxxN, Disease3Y, Disease4Y, xxxxxx5N, xxxxxx6N, Disease7Y, xxxxxx8N, xxxxxx9N, xxxxxx0N, Disease11Y, Disease12Y, xxxxxx13N, Disease14U, Disease15Y, xxxxxx16N, Disease17Y, xxxxxx18N, xxxxxx19N, xxxxxx20N, xxxxxx21N, Disease22Y, xxxxxx23N, xxxxxx24N, Disease25U, xxxxxx26N, xxxxxx27N, Disease28U, Disease27Y, xxxxxx30N, Disease31U, Disease32Y, Disease33Y, Disease34U, xxxxxx35N, Disease36U, Disease37Y, Disease38Y, Disease39U, Disease40Y, Disease41Y, Disease42U, xxxxxx43N, Disease 44U, Disease45Y, xxxxxx46N, xxxxxx47N, Disease 48Y, 

(All”N” Diseases removed )  

For illness recognition, whenever a solution indicated a symptom, IA expunged all diseases devoid of the symptom.  Every answer eradicated, narrowing down the search to reach diagnosis.   (Is pain a symptom of the disease? Answer: NO)

xxxxxx1Y, Disease2N, xxxxxx3Y, xxxxxx4Y, Disease5N, Disease6N, xxxxxx7Y, Disease8N, Disease9N, Disease10N, xxxxxx11Y, xxxxx12Y, Disease13N, Disease14U, xxxxxx15Y, Disease16N, xxxxxx17Y, Disease18N, Disease19N, Disease20N, Disease21N, xxxxxx22Y, Disease23N, Disease24N, Disease25U, Disease26N, Disease27N, Disease28U, xxxxxx27Y, Disease30N, Disease31U, xxxxxx32Y, xxxxxx33Y, Disease34U, Disease35N, Disease36U, xxxxxx37Y, xxxxxx38Y, Disease39U, xxxxxx40Y, xxxxxx41Y, Disease42U, Disease43N, Disease 44U, xxxxxx45Y, Disease46N, Disease47N, xxxxxx48Y, 

(All “Y” Diseases eliminated.)

When the symptom was absent, then IA eradicated all diseases which always demonstrated the symptom.  Diseases, which repeatedly introduced the symptom were kept in both circumstances.  So the process treated doubt — that the”Maybe” answer, which normal computer programs couldn’t handle.  

(A sequence of questions bogged down to Disease29 – the clear answer )

  xxxxxx1Y, xxxxxx2N, xxxxxx3Y, xxxxxx4Y, xxxxxx5N, xxxxxx6N, xxxxxx7Y, xxxxxx8N, xxxxxx9N, xxxxxx10N, xxxxxx11Y, xxxxxx12Y, xxxxxx13N, xxxxxx14U, xxxxxx15Y, xxxxxx16N, xxxxxx17Y,xxxxxx18N, xxxxxx19N, xxxxxx20N, xxxxxx21N, xxxxxx22Y, xxxxxx23N, xxxxxx24N, xxxxxx25U, xxxxxx26N, xxxxxx27N, xxxxxx28U, Disease29Y, xxxxxx30N, xxxxxx31U, xxxxxx32Y, xxxxxx33Y, xxxxxx34U, xxxxxx35N, xxxxxx36U, xxxxxx37Y, xxxxxx38Y, xxxxxx39U, xxxxxx40Y, xxxxxx41Y, xxxxxx42U, xxxxxx43N, xxxxxx44U, xxxxxx45Y, xxxxxx46N, xxxxxx47N, xxxxxx48Y.   

(If all diseases are eliminated, the disease is unknown) 

 Instant pattern recognition 

IA was proved in practice.  It’d powered Expert Systems behaving with the rate of a simple recalculation on a spreadsheet, to recognize that a disorder, identify an instance law or diagnose the issues of a intricate machine.  It had been instant, holistic, and plausible.  If a few parallel answers could possibly be shown, as in the multiple parameters of an energy plant, recognition was instant.  For the mind, where millions of parameters were simultaneously presented, real-time pattern recognition proved to be practical.  And elimination was the secret.  

Elimination = Switching off

Elimination was switching off – inhibition.  Nerve cells are proven to widely inhibit the actions of different tissues to highlight circumstance.  With use of millions of sensory input signal, the nervous system instantly inhibited — eradicated trillions of combinations into zero on the ideal pattern.  The method stoutly used”No” answers.  If an individual did not need pain, then tens of thousands of possible diseases might be ignored.  If an individual may just head in the operation, then a doctor could miss a wide variety of illnesses.  However, how could this means of removal be implemented to nerve cells?  Where would the abundance of knowledge be stored?  

Combinatorial coding

The mind received kaleidoscopic combinations of countless of senses.  Of these, scents were reported to become recognized through a combinatorial coding process, where nerve cells realized blends.  When a nerve cell had dendritic input signal, defined as A, B, C and so on to Z, then it may then fire, as it received inputs in ABC, or even DEF.  It recognized those combinations.  The cell could identify ABC and not ABD.  It could be redeemed for ABD.  This comprehension process was recently reported by science to get olfactory neurons.  From the experiment scientists reported that slight variations in chemical structure activated different combinations of cells.  Ergo, octanol stinks like apples, but the similar compound octanoic acid smelled like perspiration.  Even a Nobel Prize confessed that discovery in 2004.   

Galactic nerve cell memories

Combinatorial codes were extensively used by nature.  The four”letters” in the research — A, C, T and G cells — were found in mixes to the introduction of a nearly unlimited number of genetic sequences.  IA discusses the deeper consequences with the coding discovery.  Animals can differentiate between tens of thousands of smells.  Dogs may immediately sniff a couple of footprints of a individual and determine accurately which way that the person was still walking.  The creature’s nose could detect the relative odour strength difference between footprints just a few feet apart, to establish the management of a trail.  Smell has been identified through recalled mixes.  If a nerve cell had only 26 inputs from A to Z, it might receive millions of possible combinations of input signal.  The typical neuron had tens of thousands of inputs.  For IA, a huge number of nerve cells can give your brain galactic memories for mixes, letting it recognize subtle patterns from the ecosystem.  Each cell may be a single person in a database, eliminating itself (becoming corrupted ) for unrecognized combinations of inputs.  

Elimination the key

Elimination the Crucial Elimination was the special key, which assessed enormous combinatorial memories.  Clinical texts reported that your brain had a hierarchy of intelligencesthat performed tasks that were dedicated.  For instance, there is a institution region, which recognized that a couple of scissors employing the circumstance of its own feel.  In the event you injured this region, you might still feel the ribbons along with your eyes shut, however you would not comprehend it as scissors.  You still felt that the context, however you wouldn’t recognize the thing.  Thus, intuition might enable nerve cells in association regions to utilize perception to recognize items.  Medical research declared lots of recognition regions.   

Serial processing

A pattern recognition algorithm, intuition enabled the finite intelligences in the heads of living entities to respond within the 20 millisecond time span.  These intelligences acted serially.  The very first intelligence converted the kaleidoscopic combinations of sensory perceptions from the environment into neural impulses.  The next intelligence recognized these impulses as objects and events.  The 3rd intellect translated the events that were recognized in to feelings.  A fourth translated feelings to forces that are smart.  Stress triggered a getaway drive.  The deer bounded away.  A bird took flight.  A fish swam off.  As those actions of running, swimming and flying , they achieved the identical aim of escaping.  Inherited nerve-cell memories powered those drives in context.  

The mind – seamless pattern recognition

Half a  second for a 100 billion nerve cells to make use of context to expel irrelevance and send output.  Enough period passed between the shadow and the scream.  Thus, from input to output, your head was a seamless pattern recognition machine, powered with the vital secret of intuition contextual elimination, out of massive acquired and inherited combinatorial memories from nerve cells.  

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