I'd hardly think that conditional responses utilized by Excel constitute anything resembling sophisticated decision making that would be the criterion for AI, this is an absurd proposition.Going back to the feasability of artificial intelligence...
If one is wanting to replicate intelligence, they would have to replicate the skill of decision making. But what is decision making? Decision making is just a set of values, information about the current situation and repercussions of making a certain decision. This may not be as far away as you think.
In fact, computers already do this to a basic level to begin with, take the 'if' function in excel for example, you give it a set of values and a question. It returns with a true or false answer and based on that it does something else.
All that is required to make this a full-blown ai is make it understand and consider the repercussions.
AI decision making as exemplified by those needed to pass the Turing test aren't as simple as conditional 'ifs', they are decisions that are used to define what's human such as somethign like, if a husband pushes his wife to the floor, is it best she leaves him ?
To answer this question correctly, things like circumstances, financial consequences, children etc etc all have to be taken into account ... this is not a simple conditional decision, far from it.
And it is these type questions that are used to differentiate AI from human.
Once again PW, this is absurd, good or bad isn't always black and white, it is more often than not somewhere on a spectrum with the correct answer sometimes having its roots in morality or religious doctrine or clinical efficacy or a myriad of other considerations, the assignment of a number isn't gonna equip a computer to make the right decision here any more than assigning it a name.But even a computer do this presuming a human firstly gives an indication of how good or bad a outcome will be. Ie, if killing someone is bad, it could be worth -100 points. If every outcome and repercussion given a value, it would result in an equation. And if this equation proved to turn out better than the current one, it is a worthwhile thing to do. However, yes. It would have to calculate every possible outcome and work out the chance of a good thing happening over a bad thing.
I'm at a loss as to what you mean here with this algebraic substitution you have used in the last line, it seems to make no sense ... to me at least.And earlier you stated," If you tell a computer 1 + 1 = 2, how can you learn from that?".Well, all that would be required is to let it work out a rule. It could teach itself every addition calculation in the universe. The same goes for any mathematical equation really. Ie if a number is x above 1, the answer will be x above 2.
And as for how all this is meant to enlighten anything to do with decision making with regard to AI is beyond me and so can you please expand upon or at least clarify, what you have posted here.