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8

Actually, standard IQ tests, such as Raven's matrices, tend to assess intelligence better if they are not timed. In this paper by Philip Vernon (1988) it was found that the g-factor extracted slightly more variance for the same test if the test was not timed than if it had a time limit. This means if you ask yourself: "What is this test measuring?", you can ...


8

A (probably incomplete) list of ongoing whole brain simulation projects can be found at http://www.artificialbrains.com/. However, based on the information reported on this site, it is sometimes hard do distinguish what already has been achieved and what is still in the planning stage. Nevertheless it gives a good overview to start with.


6

There are two ways to approach your question: with or without dualism. I will highlight the dualist approach since it is more salient. Keep in mind that I do not find this approach reasonable, and doubt my summary will do it justice. You might be interested in the concept of philosophical zombie, it is a modal argument against physicalism in the spirit of ...


5

You are certainly not the first to conceive of intelligence as pattern analysis. In fact, there is a book by Jeff Hawkins called "On Intelligence" which investigates this idea in depth. His idea is that the best candidate mechanism for intelligent brain function is predictive coding. In the predictive coding framework, the job of the brain is not to ...


4

An AGI is a man-made machine that can learn, adapt, think, plan, predict, etc. Cognitive science is the study of how our "biological machines" do those same processes.


2

I think "teaching of high-level strategies will allow students to use learned strategies across different domains" is the very rationale of mathematics. Math gives very good examples of both abstract strategies for solving problems across different domains and also specific, explicit strategies. You don't seem to want the abstract strategies, but if you ...


2

I'm not sure I fully understand your design; perhaps you can clarify what you want your network to learn, why TD-learning "isn't cutting it", and what you mean by 'reinforcement' and 'prediction' learning. In particular, TD-learning is a reinforcement learning model, and it does reward based on predicted (and not just observed) outcomes. However, you seem ...


1

So I guess the question is whether such a test can be constructed at all. In other words, is there a category of problems that require some minimal intelligence level to solve them no matter how long one might try. Like the problem that could be solved in a minute by a smarter person but is impenetrable to you no matter how many years you spend ...


1

The nature of intelligence is a highly controversial open question. However your phrasing and use of the term "general intelligence" seems to indicate a g-factorist context to the question, so then, I would say the answer is "no". Pattern recognition tests such as Raven's Progressive Matrices do load highly on the g-factor but things unrelated to pattern ...



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