Do all grammar learning connectionist models require back-propagation to mirror infant learning?
371672
I don’t know how to calculate a gradient.\nBut I had a dream that I was a brain wave simulator once, but I also dreamt that I was Steven Pinker the next night so I don’t know.\n\nI guess my answer is to ask Laura Mulvey because she uses the word “mirror” a lot in her research.
610618
Yes.\nRight now, while they're young enough I can still influence them, we are learning Irish.  I use Pimsleur for the kids, and then I am studying using a book and tape system.  It's working fairly well, however, this is nothing like learning French or Spanish.  There is no frame of reference within the English language for pronunciation of Irish Gaelic.\n\nThe reason we are learning Irish is because of our Irish heritage and the fact that there are only 50,000 speakers of this language left.  If I don't teach my children the lyrical tongue of their mothers, it will die.  It's also an extreme intellectual exercise for me, hopefully putting off Alzheimer's for a couple more years.  ;)\n\nWhen they reach high school age, they know they can pick whatever language they feel will serve them in the future.  But I wanted them to learn Irish first.  Anything else will be a piece of cake after that.
10093
Over everything else, our brains are pattern recoginition machines.  They are very, very good at filling in blanks -- even if they shouldn't.  The usefulness of this comes when coupled with our reasoning ability to figure out if things are important illusions, i.e. if the sabre-toothed tiger went around that side of the rock, he didn't just disappear, he's probably also coming out on the other side... but he can't see me right now either.
604196
There's some basic info here:\n\nhttp://en.wikipedia.org/wiki/Psycholinguistics
377318
Artificial speech. Made by machine. Robot language
88006
Neural Networks have the capability of learning from a just a few training samples. Solution space for neural network based reasoning is not restricted to linearity. i.e. a neural network automatically forms a complex formula(non-linear) fitting the inputs and the previous well known results. \nSolving non-linear systems using mathematical models is very complex and sometimes impossible. That's why we go for NN, Fuzzy, Genetic algorithms.
207503
As a human baby's brain grows and the coordination of tongue, lips and vocal cords improves, they learn to speak. As they grow older, they are exposed to new words and ideas. Their vocabulary, grammar and communication skills develop.
680498
Thats a very interesting question, and has been addressed at least to some point-It's clear, though we don't conciously remember events, that we do learn a great deal during this time, thus we "remember' a huge amount- the process of walking, controlling your limbs, facial expressions, on and on and on, are all learned and remembered event from infanthood- What we don't seem to remember are events per se- It appears as if that portion of our learning is developmentally controlled, such that the limbic system filters much of the detail out in infancy- only later, when high-level socialization occurs, does the limbic system start to recognize details and allow them to reach long-term memory. Essentially, the brain and learning are very very tightly developmentally controlled, so that certain things are learned at certain times- biologically, the brain is wired such that the most critical learning, such as how to control the body, how to interact in the most general way with people, etc, are learned first, and everything else is weeded out.  It's probably critical that this occurs, else we would remember being a baby at the expense of not learning how to walk until we were in Junior high!\nJust to address some things that were said before-we have an excellent memory as infants, and learn extremely quickly, but it is wired in a different way- There is also no evidence that events are stored at all, and thus no evidence that any of the infant memories can be "recovered" because they were not laid down to begin with.
571275
I am no computer theorist, so I am not qualified to comment really. But I off late keep notice that the thrust has shifted from trying to create a machine that mimics humans right from the start, to something that can learn prodigious amout of stuff by gradual interaction.\n\nOnly yesterday, I read about a robot that learns like a child\nhttp://www.wired.com/news/culture/0,1284,57432,00.html\n\nA lot of bots are now being plugged to messaging services to monitor how people communicate and gather data/opinions on events. If I remember right, AIM has such a bot program.\n\nSo my guess would be a decade should see us reach where the turing test will begin to look do-able! But somehow, that thought is not so comforting to me...
756779
usually not.\nit is better to USE what you learn - and analyse it and if taking notes, paraphrase them, rather than copying.\nour brains are better able to keep things long term if you learn ACTIVELY rather than passively trying to learn by rote
1007808
appart from the basics of hearing which i assume you understand, its all about learning and theories of learning. Albert Bandura surmised that people learn through imitation, so therefore infants watch intently and copy what we do. This includes vocalization. As infants become older they are able to learn new words and string them together.
276776
The answer is...both.  I had an anthropology of the mind course and we studied this topic.  Humans have an innate ability to produce language, but will mimic whatever language is used in that particular environment.  \nHowever, if isolated, humans will produce, what is called, a pidgin dialect that still follows the same sort of rules that all other languages follow.  So, there seems to be some sort of mental map for language that is innate.
19142
Its based on Artificial Neural Networks, which are programmatical methods of trying to duplicate the activity of the human brain. It comprises of a learning stage, where the paths to different methods are chalked out. Then, when the input comes in, the program tries to track the path of the successive answers to ones that match the user's input closest (one method of achieving this is finding the least difference between each pair of input and entry in the database). This is done stage-wise, until a good guess is made on the possible solution to the user's responses.
810
From what I've learned in linguistics, no (spoken) language is "easier" or "harder" for children to learn. They all learn their native language at the same speed.\n\n(Written language is another matter, of course.)
42211
I agree that language development is due mainly to the parents, but sometimes the kid is just smart.  A combination of the two is usually the answer.
1184347
yes, it's called communication.  Images can be conveyed through art or illustration.  Thoughts can be conveyed verbally.  Emotions through body language.  If a neurosurgeon tried cutting and pasting, he would have a big gooey mess on his hands, not to mention some very angry bereaved families.  Besides, neural networks only make sense in the context of the remainder of the brain's network system at large, so it would be like trying to do physical splicing with a floppy disk.  It wouldn't work.
888477
Yes.  The more you use a neuron network the stronger it becomes.  The increase is minuscule, but certainly large enough to measure.  Good luck in your quest for more knowledge. Ciao!\n-C