The Secret of Intuition

Written by Abraham Thomas

14 new insights reveal how intuition controlsrepparttar mind

1. The dilemma of control. We did not choose to be born. Not only were we pitched into this strange world without our permission, it has also now been confirmed that we lack even sufficient control over our own actions. To all outward appearances, human beings perceiverepparttar 140134 world, recognize objects and events, direct attention and even control their bodies. Outwardly, we also have a free will. But, in reality, we were scarcely in charge. Science describedrepparttar 140135 activities of a region calledrepparttar 140136 limbic system, buried deep withinrepparttar 140137 brain. Being a more primitive part ofrepparttar 140138 brain, this region was reported to berepparttar 140139 seat of emotions. 2. The limbic system controls. Electrical stimulation of neurons in this region caused you to feel anger, fear, or shame. More often than not,repparttar 140140 wide range of feelings and emotions, generated by this region, controlled our actions. Did your wishes, orrepparttar 140141 limbic system finally decide your actions? This was easily verified. Whenever you wished, could you raise your hand high? Sadly, no. Whilerepparttar 140142 hand obeyed your wish while sitting alone in a room, it would be frozen in place in, say, a theatre. Fear of public opinion decidedrepparttar 140143 issue. It wasrepparttar 140144 limbic system, which decided that it was not appropriate. It wasrepparttar 140145 same when you first wished to jump offrepparttar 140146 high diving board. Fear of falling decided “NO!” The limbic system made you rigid. There were so many situations, when emotions ruled, while your wishes waited inrepparttar 140147 wings. 3. The mind and maths. Scientists reported that such responses ofrepparttar 140148 mind occurred within a bare 20 milliseconds. The nervous system processed all available information and commandedrepparttar 140149 muscles to be frozen in just that span of time. It was a system, which contained over a hundred billion neurons. They processedrepparttar 140150 information from input to output in just half a second. How was this information processed? For most scientists, neural interactions were computations. Maths, or logic based. But, whilerepparttar 140151 mind was multi-dimensioned, calculations were limited to “domain specific” problems. Apples could not be added to pears. No formula could computerepparttar 140152 loss of a loved one and feelrepparttar 140153 pain. The mind could deal with diverse dimensions. It could recognize beauty, shame, or affection. It was obvious thatrepparttar 140154 elegance ofrepparttar 140155 mind could not be explained by calculations, or by convoluted reasoning chains. There was a flaw inrepparttar 140156 maths approach. There was an alternative. Instead of calculating,repparttar 140157 nerve cells could be recognizing patterns. 4. Many nerve cells recognize patterns. A vast army of nerve cells recognized signals inrepparttar 140158 environment. Chemoreceptors inrepparttar 140159 nose and tongue reported on molecules which provided information on smell and taste. Other receptors were massed together to form sense organs such asrepparttar 140160 eye andrepparttar 140161 ear. There were receptors which reported on pressure, touch, pulling and stretching. Every sensation was recognized by specialized mechanisms and converted into nerve impulses. Feelings, those mysterious elements which maddened or enraptured humans, were also patterns of recognized nerve impulses. The fMRI brain scans have reportedrepparttar 140162 firing of feeling impulses inrepparttar 140163 limbic regions. Patterns of hate and anguish, laughter and disgust. Function specific recognition wasrepparttar 140164 key message for millions of cells. 5. The pattern recognition problem. Could pattern recognition berepparttar 140165 basic neural process? Unfortunately,repparttar 140166 recognition of patterns was too formidable a task for it to be simulated on computers. The diagnosis of diseases was a typical pattern recognition problem. The obstacle was that many shared symptoms were presented by a multitude of diseases. Pain, or fever were present for many diseases. Each symptom pointed to several diseases. Inrepparttar 140167 customary search,repparttar 140168 first selected disease withrepparttar 140169 first presented symptom could lackrepparttar 140170 second symptom. So there were back and forth searches, which followed an exponentially expanding trajectory asrepparttar 140171 database increased in size. That maderepparttar 140172 process absurdly long drawn – theoretically, even years of search, when searching extensive databases. Inrepparttar 140173 light of such an impregnable problem, science did not evaluate pattern recognition as a practical process forrepparttar 140174 nervous system. 6. Algorithms and Intuition. As against such difficulties, an unusual new book, The Intuitive Algorithm, explains a process, which could instantly recognize patterns. Algorithms, were automatic procedures, which did most things in computers. They were mechanical tools, like gear boxes. You gained a predicted output for a specific input. Algorithms looked as far removed from intuition as a jack hammer from a baby. Because, intuition was a fabled gift, which enabled Einstein to discover relativity, or Mozart to compose beautiful music. But,repparttar 140175 Intuitive Algorithm (IA) was different. It acted more like an adding machine, which could smile. The novel capability of IA opened a new world of possibilities in understandingrepparttar 140176 mind. 7. Instant pattern recognition. IA was unique. In a feat never achieved by computers before, IA could almost instantly diagnose diseases. IA used elimination to narrow down possibilities to reachrepparttar 140177 correct answer. In essence, IA did not calculate, but used elimination to recognize patterns. IA acted withrepparttar 140178 speed of a simple recalculation on a spreadsheet, to recognize a disease, identify a case law or diagnoserepparttar 140179 problems of a complex machine. It did this holistically and almost instantly, through simple, logical steps. IA proved that holistic, instant, real time pattern recognition was practical. IA providedrepparttar 140180 first clue torepparttar 140181 secret of intuition. The website andrepparttar 140182 book explain IA in detail. 8. Mind was holistic. Walter Freemanrepparttar 140183 famous neurobiologist definedrepparttar 140184 critical difficulty for science in understandingrepparttar 140185 mind. “The cognitive guys think it's just impossible to keep throwing everything you've got intorepparttar 140186 computation every time. But, that is exactly whatrepparttar 140187 brain does. Consciousness is about bringing your entire history to bear on your next step, your next breath, your next moment.” The mind was holistic. It evaluated all its knowledge forrepparttar 140188 next activity. However large its database,repparttar 140189 logic of IA could yield instant pattern recognition. Since that logic was robust and practical, intuition could also be such an instant pattern recognition process. Intuition could then powerrepparttar 140190 mind to instantly recognize an infinite variety of objects and events. Each living moment, it could evaluaterepparttar 140191 context of a dynamic multi-sensory world and its own vast memories. But, how could data be stored for such instant access?

Hall Math

Written by Hall

Cont'd on page 2 ==> © 2005
Terms of Use