From ResearchID.org

Here is an example of problem definition and action mapping for a thermostat:

if condition (perceived disturbance), _____ == > then action

temperature too low _____________________ == > heat

temperature high enough _________________ == > do not heat

However, the “if condition (perceived disturbance)” could also have been “speed too fast” mapped to an erroneous action of “heat”. These things are set by the volition of intelligent agents at the time of problem definition and setting of requirement goals and objectives. Again, each column is chosen from unlimited sets. So even DNA cannot possibly contain the infinite knowledge required to cover all the possibilities like the way intelligent agents show by novel new designs. This can only be accomplished by the intelligence characteristic of volition.

Thus far, intelligent agents perform this mapping for artificial intelligence systems by front-loading this knowledge into even the best learning programs.

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