!rant

Going through my graduate program I have come to realize that there is more to A.I than just machine learning algorithms. As if ML was not complicated enough, we add more to it such as KRR and other topics that border on the areas of Cognitive Science, Boolean Algebra, Logic and even Philosophy and you know what? I dig it. I dig it because finding some of the information in the course that I am getting is damn near impossible to see in other items. Such is the case as a method for fucking signature unit propagation which afuckingparently was developed by one of my instructors(not complaining, just really fucking impressed)

The thing is, most of these items would normally have a parallel in software development that we use on our day to day basis, all of us, no matter if you do web, systems development, database development whatever, the general concepts are the same: you represent real world concepts, such as that of logic and knowledge in programatic/mathematical representations.

I am really amazed at the content of these items, I really am. I just wish for some clarification on ambiguity, seems like most things are left better if it where explained in a programmer's point of view. Most of the items that I have seen could have easily been summarized in a programmers logic if only they would have preferred to take the time to do it, and I get that there needs to be mathematical intuition formulated before anything, it is better sometimes to learn concepts from an outside point of view, a mathematical point of view, but shit is just strange sometimes.