Artificial Intelligence Systems in Easy Words, Part 5

As I discussed in my last blog post, I want to train an intelligent agent to improve the driving conditions of a passenger car. In this blog post, I will apply the first training example on the set of 11 rules in intelligent agent. Recall from my last blog post, the first training example is:

“The windshield is wet and the distance from the car ahead is too close and the velocity is low and the engine is on and the lighting is sufficient and the temperature is high ð only wipers are turned on (no other action is taken)

The example is coded as:       100111:1#### ”

Applying first training example:

  1. Searching among 11 rules in intelligent agent in order to find rules that their If-part match with the If-part of the example. As it shown in the picture below, only If-part of rules #2 and #5 is matched with the example. In other words, rules #2 and #5 have If-part conditions that cover the example condition.

Capture5.JPG

  • Validate Then-part of the rule #2 based on the If-part the example.

The windshield is wet and the distance from the car ahead is too close and the velocity is low and the engine is on and the lighting is sufficient and the temperature is highðTurn on wiper

This is the true statement. Turning on wipers is a right decision because windshield is wet.

  • Validate Then-part of the rule #5 based on the If-part the example.

The windshield is wet and the distance from the car ahead is too close and the velocity is low and the engine is on and the lighting is sufficient and the temperature is highðIncrease speed

This is the wrong statement. Increasing the speed is wrong because the distance from the car ahead is too close.

Please check my next blog post to learn about steps 2 and 3 of training procedure. Meanwhile, if you have any question, please message me here or on my LinkedIn.

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Author: Amin Sabzehzar

MBA student Mechanical Engineer University of Nevada, Reno

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