8

I quite like your outlook, and without getting into the details of how a "singularity" may be effected which is covered in numerous other questions, or how consciousness and "omniscience" come into play because consciousness and omniscience are not requirements, I will instead direct you to two key philosophers: Phillip K. Dick, for whom the central theme ...


6

AI is already connected with cognitive psychology - there are dozens of AIs right this minute attempting to predict things like which Facebook posts you will like, and which ads you are most likely to click on. In other words, they are trying to predict how you think. For more detailed info on this AI/cognitive science connection, there is some suggested ...


4

No, here is why. No approach can simulate the mind with 100% accuracy. a major notion that AI theorist refuse to note is that you cant take an orange and by virtue of technology turn it into an apple lets apply the same logic here. neurons are temporary things in our brains, daily we are trimming our brains and growing our brains, in order to "Engineer" a ...


3

I think you are slightly confusing 2 problems. 1 being classification of meta visual elements and the other being the visual system itself. Our visual system, when it comes to processing information, has had billions of years of iteration(training), so that at birth(and before), we are already tuned for the processing of visual stimuli, as well as have the ...


3

Yes ... definitely. AI software should not be overly bound to tensors. The natural representation of a network is a network, not an array. Math Well Fitted for AI Vertices connected by directed edges is the closest mathematical equivalent to working nervous systems. Even the control circuit of a CPU, FPU, or GPU is a complex network of gates, not a grid ...


3

Another impression that I get is that cognitive science is more about trying to find out how the human intelligence or mind works. And that it would use artificial intelligence to make tests or experiments, to test ideas and so forth. I think that's pretty much it. I mean, clearly there is some overlap, but I feel like most people who use "cognitive ...


3

Title Question Easily. Simply define the efficiency metric to favor speed and accuracy in mail sorting, high speed trading, predicting movie box office revenue, or chess playing and you're done. If you define efficiency as the number of days required to write a textbook without any feedback from faculty or students divided by the number of pages, then the ...


2

There has been a lot of research in cognitive science on the relationship of sleep/dreaming and memory/learning. I don't know enough about the subject to say if it resembles backprop in spirit, by as the BlindKungFuMaster points out, that may be corollary. Here's a paper from 2004, Memory Consolidation in Sleep: Dream or Reality?, which concludes that "...


2

This is a very interesting question and also an important one for AI. All the current Deep Learning successes are built on the effectiveness of backprop, so what if it doesn't play a role in the only examples of intelligence currently around? It makes a lot of sense for the brain to employ some form of backprop, because that would allow it to create low-...


2

Artificial intelligence is much more than a research tool for cognitive science. Of course there is some overlapping and researchers of both fields working together. But AI is also broadly used in economics, security (for example face recognition software), advertising, or in the development of games and of course in robotics (autonomous systems). The ...


2

Understanding a human brain fully, how hippocampus and neocortex works would surely help AI enthusiasts to make better AI algorithms with superior memory, ability to learn and finding what precisely intelligence, feelings and conciousness are by itself. The AI looks at psysiological and anatomical data as a source of suggestions regarding possible mechanisms ...


2

The primary proponent of the singularity is Ray Kurzweil, and his writings permeate the first pages of search results in Google for singularity related search terms. His SEO is probably helped along by the fact that he is the director of research for Google. One person's analysis of former R.K. predictions, The Singularity is Near: How Kurzweil's ...


1

There are several vectors of scientific investigation and attempts to use the output of research to both comprehend the human mind and productize that knowledge for industrial, business, and consumer use, which run in parallel toward similar and largely overlapping goals. Artificial network research — convergence on behavior based on a criteria and a ...


1

What are the top contributions from neuroscience to artificial intelligence and vice versa? Here is a glimpse of one of my favorite companies doing it big in artificial intelligence field,inline with its contribution to neuroscience;otherwise. DeepMind It's goal is to build a general AI systems with the ability to think,reasoning and learn flexibility ...


1

According to a famous misconception, the human brain works with neurons and glial cells. Both a forming a biological computer. That theory is wrong, it is not the way humans think. What we see in reality is, that humans are learning from the environment, that means decision making processes are located outside of the brain in social games. For example, ...


1

considering your current skill-set and experience , it would be better if you work through some courses on neural-networks (cs231n) to get a better idea of state of the art techniques. current research in AGI is still in infancy (or even less). so it would be best if you choose some-more relevant projects , or if you are really into AGI you should ...


1

The only projects in AGI I am aware of are OpenCog and various research in MIRI. If you are interested in AI research perhaps another approach would be via the cognitive science / psychology literature. After all, to create a psychological model which explains experimental result is what one does in experimental psychology!


1

Well, the low-hanging-fruit answer is that you simulate a human being - brain, hormones, everything. We should have the computing power for that to be feasible by 2040 or so. Building up self-awareness from first principles on a different foundational technology platform could be a bit more difficult!


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