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Odds and probability - Elements of AI

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Instead of perfect information, there is a host of unknown possibilities, ranging from missing information to deliberate deception. Take a self-driving car for example — you can set the goal to get from A to B in an efficient and safe manner that follows all laws. But what happens if the traffic gets worse than expected, maybe because of an accident ahead? Sudden bad weather? Random events like a ball bouncing in the street, or a piece of trash flying straight into the car’s camera? A self-driving car needs to use a variety of sensors, including sonar-like ones and cameras, to detect where it is and what is around it. These sensors are never perfect as the data from the sensors always includes some errors and inaccuracies called “noise”. It is very common then that one sensor indicates that the road ahead turns left, but another sensor indicates the opposite direction. This needs to be resolved without always stopping the car in case of even a slightest amount of noise. One of the reas

Instead of perfect information, there is a host of unknown possibilities, ranging from missing information to deliberate deception. Take a self-driving car for example — you can set the goal to get from A to B in an efficient and safe manner that follows all laws. But what happens if the traffic gets worse than expected, maybe because of an accident ahead? Sudden bad weather? Random events like a ball bouncing in the street, or a piece of trash flying straight into the car’s camera? A self-driving car needs to use a variety of sensors, including sonar-like ones and cameras, to detect where it

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