*Interpolation* means to estimate something that lies between observations. For instance, if we have two snapshots of a bowling ball at different point in the lane, we can *interpolate* that it must have passed through the other points between those two points. Any kind of average is an interpolation, since we are making an estimate of the midpoint of the group by using the elements of the group that we can see.
*Extrapolation* means to extend a set of observations to some further point. For instance, if we have two snapshots of a bowling ball at different point in the lane, we can *extrapolate* whether it will hit the pins at the far end of the lane. We can also extrapolate backwards; in this case, we can extrapolate that someone rolled the bowling ball at a time before the first snapshot. Interpolation and extrapolation both try to extend what we have observed—to what we have not observed, but do so in different directions or modes. Interpolation extends to what must have happened between observations, while extrapolation extends to what happens before, after, or beyond observations. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tc1f2c133ae3e4762-Mde012536f402fbc4efcc2276 Delivery options: https://agi.topicbox.com/groups/agi/subscription
