Human Artificial Intelligence and Today’s Artificial Intelligence, Part 3
Human Artificial Intelligence
The term “artificial intelligence” implies that it encompasses all of human intelligence, when, in fact, it only encompasses a very limited aspect of it.
Today’s “artificial intelligence” Predictive Data Handling methodology is only one aspect of behavior that is observably demonstrated by humans. Acting in a repetitive, predictable fashion based on past data is only a small part of what people do.
Wherever people act in an unpredictable manner (which is the majority of the time), Predictive Data Handling is of no use.
If you analyze human behavior, you see that it consists of:
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An unlimited number of external CONDITIONS, such as:
- If my wife calls
- If it is sunny today
- If the heel falls off my shoe
- If it is only half an hour before lunch
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Used with an unlimited number of ACTIONS, such as:
- Do / do not Jump over
- Do / do not Print
- Do / do not Go to
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Done to an unlimited number of SPECIFICATIONS
- The beach
- The newspaper
- The puppy dog
- The banana peel on the floor
The possible combinations are trillions to the power of trillions.
- No one can hope to program them.
- No artificial intelligence code can predict them all.
ExoTech is conceived as a servant to people, not as a replacement for them.
It is intended as a servant of humanity that is capable of doing whatever people order it to do. When it does what it has been ordered to do, then it should do it in a similar manner to the way a human given the same order would do it and should achieve acceptably similar results.
That is what we mean by “human artificial intelligence” – the ability of a computer to carry out an order in the intelligent fashion a human would carry out an order.
Now, if that other human would use artificial intelligence as one of the tools he needed to get an order done, why, then so would a human artificial intelligence such as an ExoBrain.
Peter is the main shareholder of ExoTech Ltd and the discoverer of ExoTech. He has several patents other than ExoTech/ExoBrain to his name, one of which was bought by Oakley and marketed by Motorola. Originally trained in science and medicine, Peter spent many years in various executive positions in a major non-profit organization.
Peter has a proven ability to go into situations he has never met before and walk away with the market. For example, with no prior experience in distribution, he built a national distribution system in two countries and went from 2 to 1,600 staff, with 60 wholesale installations and $320 million a year turnover, all within 18 months and with only a $50,000 investment. He changed a national tax law to his advantage in only six weeks and captured an 80 percent market share in nine months in both markets.