A.s.a. H. as a prediction engine

Andy Clark believes that intelligence is all about the ability to make accurate predictions. (in Brockman, This Idea Must Die, Harper, 2015, pg 310) My artificial intelligence Asa H predicts what will be seen in the next time steps. (see, for example, my blog of 10 Feb. 2011) We can assess the accuracy of each such prediction by taking a dot product of the prediction vector and the next actual observed input vector. A running average of this prediction accuracy can then be kept and made an additional vector component of that case's overall vector utility. (see my blog of 19 Feb. 2011)