Artificial intelligence and intuition

Artificial intelligence and intuition The intuitive algorithmRoger Penrose considered it impossible. Thinking could never imitate a process. He said both in his book "The Emperor's New Mind. But a new book, The Intuitive Algorithm, (IA), suggested that intuition is a process of patte recognition. Intuition propelled information through many neural regions as a strip of lightning. Data moved from input to output in a ratio of 20 milliseconds. The spirit has been recognized and interpreted. At a glance. A myriad of processes of converting light, sound, touch and smell instantly into your nerve impulses. A dedicated region recognized those impulses as objects and events. The limbic system, another region, interpreted those events to generate emotions. A fourth region responded to those emotions with actions. The mind perceived, identified, evaluated and resolved. Intuition is a hot Skillet in a split second. It could be a simple snapshot algorithm.Is assessment impossible? The system, with more than one hundred billion neurons processing information from input to output in just half a second. All your knowledge was assessed. Walter Freeman the famous neurobiologist, defined this extraordinary ability. "The cognitive guys think it is simply impossible to keep throwing everything you have achieved in the calculation every time. But this is exactly what the brain. The awareness is to bring the entire history to bear on your next step, the next breath, the next time. "The spirit is holistic. E 'evaluated all its knowledge to the next activity. How could so much information is processed more quickly? If this knowledge is not stored? The exponential growth of the search path, unfortunately, the recognition of subtle pattes posed formidable problems for computers. The challenge is an exponential growth in the recognition search path. Problems in the diagnosis of diseases, is typical. Usually, many symptoms are shared by a multitude of diseases. For example, pain or fever may be indicated for many diseases. Each symptom pointed to several diseases. The problem is to recognize a unique model among many models overlap. During the research for the disease, the first with the disease selected first presented symptom could lack the second symptom. This means research, which have increased exponentially as the database of diseases increased in size. This makes the process long absurd? theoretically, even years of research, large databases. Thus, despite their incredible speed, fast patte recognition on the computer can never be imagined.The intuitive AlgorithmBut, industry strength patte recognition is possible. IA introduced an algorithm that can recognize pattes immediately extended database. The ratio of each member of the entire database was coded for each question. (E 'pain as a symptom of the disease?) Disease1Y, Disease2N, Disease3Y Diseases 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 is to evaluate the elimination of the database, no selection. Each member of the database is encrypted individually for disposal under each answer. (The pain is 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, 44u disease, Disease45Y, xxxxxx46N, xxxxxx47N Diseases 48Y, (all the "N" disease eliminated.) for the recognition of the disease, if a response of a symptom, I removed all the disease, without symptoms. Every answer eliminated, reducing the search to reach diagnosis. (The pain is 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, 44u disease, xxxxxx45Y, Disease46N, Disease47N, xxxxxx48Y, (all "Y" diseases eliminated.) If the symptom is absent, IA has eliminated all diseases which always showed the symptoms. Disease, who presented the symptoms have been kept in a random, in both cases. Thus, the uncertainty of the treaties? le? Maybe? response, which usually computer programs can not handle. (A sequence of questions is coming Disease27 - the 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, Disease27Y, xxxxxx30N, xxxxxx31U, xxxxxx32Y, xxxxxx33Y, xxxxxx34U, xxxxxx35N, xxxxxx36U, xxxxxx37Y, xxxxxx38Y, xxxxxx39U, xxxxxx40Y, xxxxxx41Y, xxxxxx42U, xxxxxx43N, xxxxxx44U , xxxxxx45Y, xxxxxx46N, xxxxxx47N, xxxxxx48Y. (If you have eliminated all diseases, the disease is unknown.) Instant IA patte recognition has been demonstrated in practice. Fueled systems experts, with the speed of a simple calculation on a spreadsheet, to recognize a disease, to identify cases of law or to diagnose the problems of a complex machine. E 'immediately and complete, and logical. If several parallel answers could be presented, as in most parameters of a power plant, recognition was immediate. For the mind, where millions of parameters were presented at the same time, plea for recognition in real time is impractical. And it was the elimination key.Elimination = Currency offElimination was off - inhibition. The nerve cells were widely known to inhibit the activity of other cells to highlight context. With access to millions of sensory input, the nervous system instantly inhibited? eliminated trillions of combinations equal to zero in the diagram on the right. The process with "No" answers. If a patient has no pain, thousands of possible diseases could be ignored. If a patient could walk into the surgery, a doctor may forget a wide range of diseases. But how this process could be applied for the elimination of nerve cells? Where is the wealth of knowledge be stored? Combinatorial codingThe kaleidoscopic mind received millions of combinations of sensations. Among them, the odors were reported to be recognized through a combinatorial coding process, in which the nerve cell recognized combinations. If a nerve cell had dendritic inputs, such as A, B, C and so on to Z, could then fire, when it received inputs ABC or DEF. E 'recognized those combinations. The unit could identify ABC and not ABD. Would be inhibited for ABD. This recognition process was recently reported by science for olfactory neurons. In this experiment, scientists have shown that even small changes in chemical structure activated different combinations of receivers. Thus, octanol smelled like oranges, but the same compound octanoic acid smelled like sweat. A Nobel prize has recognized that the discovery in 2004. Galactic memoriesCombinatorial codes of nerve cells have been widely used by nature. The four "letters" of genetic code? A, C, G and T? were used in combination to create an almost infinite number of gene sequences. IA examines the deeper implications of this coding discovery. The animals can distinguish between millions of smells. The dogs can sniff out quickly a couple of tracks of a person and determine exactly how the person who was on foot. The animal was able to detect the nose with the smell of the relative strength difference between footprints only a few meters away, in order to determine the direction of a path. The odor has been identified through the combinations of mind. If a nerve cell had just 26 entries from A to Z, could receive millions of possible combinations of inputs. The average neuron had thousands of entries. For IA, millions of nerve cells could make the galactic mind memories of combinations, which allows it to recognize subtle pattes in the environment. Each cell can be a single member of a database, eliminating himself (more stable) for the combined non inputs.Elimination the keyElimination is the special key, which evaluated vast combinatorial memories. Medical texts reported that the mind has a hierarchy of intelligences, which performed the tasks dedicated. For example, there was an association of the region, which recognized a pair of scissors with the context of its meaning. If you have injured this area, you can still feel the scissors with your eyes closed, but you do not like scissors. You always felt the connection, but you may not recognize the object. So, intuition could enable nerve cells, in combination with the perception of regions to recognize objects. Medical research has pointed out many parts of this recognition. Algorithms serial patte recognition, intuition, intelligence was limited, in the spirit of life in general, to respond within 20 milliseconds of time. These intelligences acted serially. The first intelligence converted the kaleidoscopic combinations of sensory perceptions of the environment into nerve impulses. The second of these pulses of intelligence which recognized objects and events. The third intelligence translated the recognized events sentiments. A fourth result in feelings of intelligent readers. Fear triggered an escape by car. A deer bounded away. A bird takes flight. A fish swam off. Although the flight operations of swimming different, they have achieved the same objective of escaping. Inherited nerve cell memories powered units context.The mind? Seamless recognitionHalf for a second model 100 billion nerve cells use to eliminate irrelevance and deliver motor context. The time between the shadow and the scream. So, from input to output, the mind is a machine without fault recognition, powered by the secret key of intuition? contextual elimination massive acquired and inherited combinatorial memories in nerve cells. About the Author Abraham Thomas is the author of The Intuitive Algorithm, a book suggesting that intuition is a patte recognition algorithm. The ebook version is available on the book in May only be purchased in India. The site offers a movie and a walk to explain the ideas.