Artificial Intelligence And Intuition

The intuitive algorithmxxxxxx3Y, xxxxxx4Y, xxxxxx5N, xxxxxx6N,
Roger Penrose considered it impossible. Thinkingxxxxxx7Y, xxxxxx8N, xxxxxx9N, xxxxxx10N,
could never imitate a computer process. He saidxxxxxx11Y, xxxxxx12Y, xxxxxx13N,
as much in his book, The Emperor's New Mind.xxxxxx14U, xxxxxx15Y, xxxxxx16N,
But, a new book, The Intuitive Algorithm, (IA),xxxxxx17Y,xxxxxx18N, xxxxxx19N,
suggested that intuition was a pattern recognitionxxxxxx20N, xxxxxx21N, xxxxxx22Y,
process. Intuition propelled information throughxxxxxx23N, xxxxxx24N, xxxxxx25U,
many neural regions like a lightning streak. Dataxxxxxx26N, xxxxxx27N, xxxxxx28U,
moved from input to output in a reported 20Disease29Y, xxxxxx30N, xxxxxx31U,
milliseconds. The mind saw, recognized, interpretedxxxxxx32Y, xxxxxx33Y, xxxxxx34U,
and acted. In the blink of an eye. Myriadxxxxxx35N, xxxxxx36U, xxxxxx37Y,
processes converted light, sound, touch and smellxxxxxx38Y, xxxxxx39U, xxxxxx40Y,
instantly into your nerve impulses. A dedicatedxxxxxx41Y, xxxxxx42U, xxxxxx43N,
region recognized those impulses as objects andxxxxxx44U, xxxxxx45Y, xxxxxx46N,
events. The limbic system, another region,xxxxxx47N, xxxxxx48Y.
interpreted those events to generate emotions. A(If all diseases are eliminated, the disease is
fourth region responded to those emotions withunknown.)
actions. The mind perceived, identified, evaluatedInstant pattern recognition
and acted. Intuition got you off the hot stove in aIA was proved in practice. It had powered Expert
fraction of a second. And it could be using aSystems acting with the speed of a simple
simple algorithm.recalculation on a spreadsheet, to recognize a
Is instant holistic evaluation impossible?disease, identify a case law or diagnose the
The system, with over a hundred billion neurons,problems of a complex machine. It was instant,
processed the information from input to output inholistic, and logical. If several parallel answers could
just half a second. All your knowledge wasbe presented, as in the multiple parameters of a
evaluated. Walter Freeman, the famouspower plant, recognition was instant. For the mind,
neurobiologist, defined this amazing ability. "Thewhere millions of parameters were simultaneously
cognitive guys think it's just impossible to keeppresented, real time pattern recognition was
throwing everything you've got into thepractical. And elimination was the key.
computation every time. But, that is exactly whatElimination = Switching off
the brain does. Consciousness is about bringingElimination was switching off - inhibition. Nerve cells
your entire history to bear on your next step,were known to extensively inhibit the activities of
your next breath, your next moment." The mindother cells to highlight context. With access to
was holistic. It evaluated all its knowledge for themillions of sensory inputs, the nervous system
next activity. How could so much information beinstantly inhibited - eliminated trillions of
processed so quickly? Where could suchcombinations to zero in on the right pattern. The
knowledge be stored?process stoutly used "No" answers. If a patient
Exponential growth of the search pathdid not have pain, thousands of possible diseases
Unfortunately, the recognition of subtle patternscould be ignored. If a patient could just walk into
posed formidable problems for computers. Thethe surgery, a doctor could overlook a wide range
difficulty was an exponential growth of theof illnesses. But, how could this process of
recognition search path. The problems in theelimination be applied to nerve cells? Where could
diagnosis of diseases was typical. Normally, manythe wealth of knowledge be stored?
shared symptoms were presented by a multitudeCombinatorial coding
of diseases. For example, pain, or fever could beThe mind received kaleidoscopic combinations of
indicated for many diseases. Each symptommillions of sensations. Of these, smells were
pointed to several diseases. The problem was toreported to be recognized through a combinatorial
recognize a single pattern among manycoding process, where nerve cells recognized
overlapping patterns. When searching for thecombinations. If a nerve cell had dendritic inputs,
target disease, the first selected ailment with theidentified as A, B, C and so on to Z, it could then
first presented symptom could lack the secondfire, when it received inputs at ABC, or DEF. It
symptom. This meant back and forth searches,recognized those combinations. The cell could
which expanded exponentially as the database ofidentify ABC and not ABD. It would be inhibited
diseases increased in size. That made the processfor ABD. This recognition process was recently
absurdly long drawn - theoretically, even years ofreported by science for olfactory neurons. In the
search, for extensive databases. So, in spite ofexperiment scientists reported that even slight
their incredible speed, rapid pattern recognition onchanges in chemical structure activated different
computers could never be imagined.combinations of receptors. Thus, octanol smelled
The Intuitive Algorithmlike oranges, but the similar compound octanoic
But, industry strength pattern recognition wasacid smelled like sweat. A Nobel Prize
feasible. IA introduced an algorithm, which couldacknowledged that discovery in 2004.
instantly recognize patterns in extendedGalactic nerve cell memories
databases. The relationship of each member ofCombinatorial codes were extensively used by
the whole database was coded for each question.nature. The four "letters" in the genetic code - A,
(Is pain a symptom of the disease?)C, G and T - were used in combinations for the
Disease1Y, Disease2N, Disease3Y, Disease 4Y,creation of a nearly infinite number of genetic
Disease5N, Disease6N, Disease7Y, Disease8N,sequences. IA discusses the deeper implications of
Disease9N, Disease10N, Disease11Y, Disease12Y,this coding discovery. Animals could differentiate
Disease13N, Disease14U, Disease15Y, Disease16N,between millions of smells. Dogs could quickly sniff
Disease17Y, Disease18N, Disease19N, Disease20N,a few footprints of a person and determine
Disease21N, Disease22Y, Disease23N, Disease24N,accurately which way the person was walking.
Disease25U, Disease26N, Disease27N, Disease28U,The animal's nose could detect the relative odour
Disease27Y, Disease30N, Disease31U, Disease32Y,strength difference between footprints only a
Disease33Y, Disease34U, Disease35N, Disease36U,few feet apart, to determine the direction of a
Disease37Y, Disease38Y, Disease39U,trail. Smell was identified through remembered
Disease40Y, Disease41Y, Disease42U,combinations. If a nerve cell had just 26 inputs
Disease43N, Disease44U, Disease45Y,from A to Z, it could receive millions of possible
Disease46N, Disease47N, Disease48Y,combinations of inputs. The average neuron had
(Y = Yes: N = No: U = Uncertain)thousands of inputs. For IA, millions of nerve cells
The key was to use elimination to evaluate thecould give the mind galactic memories for
database, not selection. Every member of thecombinations, enabling it to recognize subtle
database was individually coded for elimination inpatterns in the environment. Each cell could be a
the context of each answer.single member of a database, eliminating itself
(Is pain a symptom of the disease? Answer: YES)(becoming inhibited) for unrecognized combinations
Disease1Y, xxxxxxN, Disease3Y, Disease4Y,of inputs.
xxxxxx5N, xxxxxx6N, Disease7Y, xxxxxx8N,Elimination the key
xxxxxx9N, xxxxxx0N, Disease11Y, Disease12Y,Elimination was the special key, which evaluated
xxxxxx13N, Disease14U, Disease15Y, xxxxxx16N,vast combinatorial memories. Medical texts
Disease17Y, xxxxxx18N, xxxxxx19N,reported that the mind had a hierarchy of
xxxxxx20N, xxxxxx21N, Disease22Y,intelligences, which performed dedicated tasks. For
xxxxxx23N, xxxxxx24N, Disease25U,example, there was an association region, which
xxxxxx26N, xxxxxx27N, Disease28U,recognized a pair of scissors using the context of
Disease27Y, xxxxxx30N, Disease31U, Disease32Y,its feel. If you injured this region, you could still
Disease33Y, Disease34U, xxxxxx35N,feel the scissors with your eyes closed, but you
Disease36U, Disease37Y, Disease38Y, Disease39U,would not recognize it as scissors. You still felt the
Disease40Y, Disease41Y, Disease42U,context, but you would not recognize the object.
xxxxxx43N, Disease 44U, Disease45Y,So, intuition could enable nerve cells in association
xxxxxx46N, xxxxxx47N, Disease 48Y,regions to use perception to recognize objects.
(All "N" Diseases eliminated.)Medical research reported many such recognition
For disease recognition, if an answer indicated aregions.
symptom, IA eliminated all diseases devoid of theSerial processing
symptom. Every answer eliminated, narrowing theA pattern recognition algorithm, intuition enabled
search to reach diagnosis.the finite intelligences in the minds of living things
(Is pain a symptom of the disease? Answer:to respond holistically within the 20 millisecond time
NO)xxxxxx1Y, Disease2N, xxxxxx3Y,span. These intelligences acted serially. The first
xxxxxx4Y, Disease5N, Disease6N, xxxxxx7Y,intelligence converted the kaleidoscopic
Disease8N, Disease9N, Disease10N, xxxxxx11Y,combinations of sensory perceptions from the
xxxxx12Y, Disease13N, Disease14U, xxxxxx15Y,environment into nerve impulses. The second
Disease16N, xxxxxx17Y, Disease18N, Disease19N,intelligence recognized these impulses as objects
Disease20N, Disease21N, xxxxxx22Y, Disease23N,and events. The third intelligence translated the
Disease24N, Disease25U, Disease26N, Disease27N,recognized events into feelings. A fourth
Disease28U, xxxxxx27Y, Disease30N, Disease31U,translated feelings into intelligent drives. Fear
xxxxxx32Y, xxxxxx33Y, Disease34U,triggered an escape drive. A deer bounded away.
Disease35N, Disease36U, xxxxxx37Y,A bird took flight. A fish swam off. While the
xxxxxx38Y, Disease39U, xxxxxx40Y,activities of running, flying and swimming differed,
xxxxxx41Y, Disease42U, Disease43N, Diseasethey achieved the same objective of escaping.
44U, xxxxxx45Y, Disease46N, Disease47N,Inherited nerve cell memories powered those
xxxxxx48Y,drives in context.
(All "Y" Diseases eliminated.)The mind - seamless pattern recognition
If the symptom was absent, IA eliminated allHalf a second for a 100 billion nerve cells to use
diseases which always exhibited the symptom.context to eliminate irrelevance and deliver motor
Diseases, which randomly presented theoutput. The time between the shadow and the
symptom were retained in both cases. So thescream. So, from input to output, the mind was a
process handled uncertainty - the "Maybe"seamless pattern recognition machine, powered
answer, which normal computer programs couldby the key secret of intuition - contextual
not handle.elimination, from massive acquired and inherited
(A sequence of questions narrows down tocombinatorial memories in nerve cells.
Disease29 - the answer.)xxxxxx1Y, xxxxxx2N,