Artificial intelligence is smart. But the cooperation of AI and others is not so good as it should be. The problem with artificial intelligence is that it doesn´t flex with regulations. One way to demonstrate this thing is to think of the driver who is always following the law.
If there is a "stop" sign at the crossroads that thing shows that another car has the right of way. But the problem is in cases where the AI-controlled vehicle has the right to first. What if another vehicle is near the crossing point and doesn't slow or stop? If the AI cannot flex. That means it would cause an impact.
The problem with the programming of the AI is what kind of actions involve its programming. The traffic regulations are the thing that requires that everybody follow them. But what if somebody doesn't care about rules. And doesn't care about the "stop" sign?
When artificial intelligence operates it doesn't use imagination. So it predicts that also all other people are following the rules. But the situation is different in real life. In real life, we are facing situations where we must flex. But the question is: how to tell the machine that it should flex in some situations?
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Fuzzy logic
The idea of fuzzy logic is that it makes machines like a robot working smoothly and more flexible. The system has the main action like the walker has the right to go before the vehicle. But then there are sub-determinators like the distance and speed of the oncoming vehicle when the robot should let the vehicle go before it.
In the airfields, fuzzy logic used computers might have determinators what makes them lead the aircraft to the runway. Normally the system just follows the row and uses runways simultaneously. But in the cases of emergency, that system can let the aircraft pass the row.
That kind of thing can make aviation safer. Even if the computers are not leading the aircraft to ground independently they can show the necessary information for air traffic controllers. That data can involve things like information on the free runway. And the system can send the rescue crew to that runway.
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We all know that the walker should go first in all cases when the road is needed to cross. But the fact is that if the walking robot is about one meter ahead of the car and it doesn't have regulations what is the safe distance of the vehicle when the robot can cross the road. It walks just under the vehicle.
The answer to that problem is called fuzzy logic. The fuzzy logic means that the system has no strict orders for that kind of thing. The parameter for crossing the road goes that the walker must always let go before the vehicle. But then the programming of the robot has the values like distances and speed of the incoming vehicle. Those determine the exceptions for the main rule.
Those exceptions are making the AI-driven robot smart and flexible. The thing is that the system as the rules what to do in certain cases. But then some sub-determinators are adjusting the actions. In cases like the vehicle is near the robot.
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