Let's measure intelligence in 2016

[ErGingerbreadMandude]

That'd probably come under pattern analysis..

Your perspective may change if you ever try creating artificially intelligent temporal sequence learning. It is significantly harder to do than pattern analysis, which is probably why the literature has relatively little of the former and lots about the latter.

And if you believe that strong AI has to be self organising which I definitely do, then self organised temporal sequence learning is fiendishly difficult.

Essentially all the different techniques that we use for pattern analysis are statistical in nature, or equivalent to some other statistical technique. In essence pattern analysis is more like devising a complicated look-up table.

Temporal sequence learning could be considered pattern analysis but with the added dimension of time, but this doesn't work in the case of action selection which does not need to create a model of the world.

Oh if you're talking about computers, then I've found a method to make computers work like human brains.
It's all in my head and quite complicated to communicate across a message board clearly. But I'll tell you my method uses lots and lots of linked lists,sort of like neurons in our brain. And lots and lots of complicated connections between them. Many to Many connection to be exact. I could implement it in a c program but I'm not sure how it'll play out since my beloved laptops only input is his keyboard input and no sensory inputs like my awesome body has. I feel like a lot of learning can be done by computers without actually Hard coding or by using a reward system if we were to give computers some sensors so that sensory inputs can be read. That way a lot of connections across nodes can be done by them itself..
Like fire can be associated with pain.pain can be associated with avoid. Therefore fire can be associated with avoid. Get it?