The AI Philosopher; A cognitive model fleshes out Kahneman’s fast and slow systems 

Time for solving problems is very important. Because each problem requires that it be solved in a specific time frame, the timing to solve each  problem is decided according to the average time learners spend solving problems. However, the system also adapts to the learners’ pace by providing more or less time, as needed.

As the above quote explains, “…the system also adapts to the learners’ pace by providing more or less time, as needed.”, it is not really time that is important, but the position the learner takes, when moving from decision to action.

But, I say, the position the person takes after making the necessary decisions is important, because the advantage in the position is needed to obtain the necessary energy to complete the Act.

If you don’t know the advantage of the position, then you should not be Oriented within that OODA loop. Peter’s Principle full of entropy takes over.

So, when in an open OODA loop (life), you do your thinking in the opening between Decision and Action. And when you get to the opening that is located within the loop between Decision and Action, the rule is: its decisions before thinking , but act, by using the position your decisions have taken you, as a lever in the moment you get there, because the position is one with an advantage, so aim/fire.

This advantage can be thought as being similar to the cutting of  time spent in the loop by half, in your position between decisions and action. In other words, you’re creating energy out of the lever created by your position in time, and the force behind  your decisions creates power (energy/sec).

At least the energy for the power needed to see the Act through.

A computer should think in the term of milliseconds, and humans should also adapt to that time-frame, no matter how slow that may seem while gaming the system.

Source: (1) A cognitive model fleshes out Kahneman’s fast and slow systems | Stan Franklin – Academia.edu

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