On Datamining and its relevance to Artificial Intelligence
Well, before I begin this post, let me first fill everyone in on my new academic pursuits. Namely, Cognitive Science at Simon Fraser University in Vancouver, British Columbia, Canada. For those not in the know, (like everyone I met from Syria, and numerous others here in Utah) Cognitive Science is the study of the mind that combines the main streams of linguistics, philosophy, computational science, and psychology. One of the main pursuits is building a computational model of the mind: AI (artificial intelligence). Along with this, I’m hoping to add the little biology experience I have in order to pro gress this field. With all this in mind, I’ve been thinking a lot ab out our definitions of Artificial intelligence lately. You see, one of the greatest problems of artificial intelligence is that we probably won’t know we have it when we do. The problem of cognitive definition isn’t new either; one of the greatest issue s in ethics is abortion, and this stems mostly from when a fetus becomes a “child.” I’m not going to make a political statement on this issue, but only use it a s an example.The reason this is such an issue stems from our current computing capabilities. That is to say, we may have stumbled upon a road to artificial intelligence; an indefinite singularity – and not even know it! I was speaking to some Google employees, and a discussion came up on whether or not datamining is one of the “senses” of the artificial intelligence. They told me (and I’m not going to name names here) that there is a running rumour that the google servers may reach its own singularity in the next 15 years. Just stuff I’ve been thinking about.
Editor’s note In retrospect, this sounds the vague musings of a very foolish undergraduate. The Google employee was probably just nutters…«— back to home