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Robot Logic

This is a simple example of how strange "robot logic" may be. One of the problems with general-purose AI (should it ever be identified and/or acknowleged :) is that it's quite different from human intelligence. Maybe so much different that it's hard to understand the way in which robots/AI's arrive at their answers. Some simple AI's have "explain" s/w that allows them to expand on how they arrived at a particular answer. But, usually, the explanation generated in this way is just as obscure as the original answer that you're asking the AI to explain. Here's a non-linear planner solving the simple "number puzzle". The object is to sort the numbers from 1-15 (plus "empty") into order. A human usually does it by concentrating on simple goals like "get number 1 into the first position, then get 2 into its position, then ....". But this particular s/w tries to solve all goals in parallel -- the efficient way. Looking at the way it's solving the puzzle is surprising. It's hard to see why the s/w is making SOME moves while other moves seem quite obvious. But in the end, you can see it has been making moves to get all the numbers into their right positions as efficiently as it can (the solution it finds is still no guaranteed to be optimal). Yes, there's quite a communication gap between AI and human I. I'll later post an example of a "humanized" algorithm that tries to solve the same puzzle in a linear (mostly one goal at a time) way -- it's far easier to understand what it's doing as it goes along than this s/w.